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Safety Prediction Models for Six-Lane and One-Way Urban and Suburban Arterials (2022)

Chapter: APPENDIX B. Workshop Sample Problems

« Previous: APPENDIX A. Proposed Revision to Chapter 12 of the AASHTO Highway Safety Manual Predictive Method for Urban and Suburban Arterials
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Suggested Citation:"APPENDIX B. Workshop Sample Problems." National Academies of Sciences, Engineering, and Medicine. 2022. Safety Prediction Models for Six-Lane and One-Way Urban and Suburban Arterials. Washington, DC: The National Academies Press. doi: 10.17226/26515.
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Suggested Citation:"APPENDIX B. Workshop Sample Problems." National Academies of Sciences, Engineering, and Medicine. 2022. Safety Prediction Models for Six-Lane and One-Way Urban and Suburban Arterials. Washington, DC: The National Academies Press. doi: 10.17226/26515.
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Suggested Citation:"APPENDIX B. Workshop Sample Problems." National Academies of Sciences, Engineering, and Medicine. 2022. Safety Prediction Models for Six-Lane and One-Way Urban and Suburban Arterials. Washington, DC: The National Academies Press. doi: 10.17226/26515.
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Suggested Citation:"APPENDIX B. Workshop Sample Problems." National Academies of Sciences, Engineering, and Medicine. 2022. Safety Prediction Models for Six-Lane and One-Way Urban and Suburban Arterials. Washington, DC: The National Academies Press. doi: 10.17226/26515.
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Suggested Citation:"APPENDIX B. Workshop Sample Problems." National Academies of Sciences, Engineering, and Medicine. 2022. Safety Prediction Models for Six-Lane and One-Way Urban and Suburban Arterials. Washington, DC: The National Academies Press. doi: 10.17226/26515.
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Suggested Citation:"APPENDIX B. Workshop Sample Problems." National Academies of Sciences, Engineering, and Medicine. 2022. Safety Prediction Models for Six-Lane and One-Way Urban and Suburban Arterials. Washington, DC: The National Academies Press. doi: 10.17226/26515.
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Suggested Citation:"APPENDIX B. Workshop Sample Problems." National Academies of Sciences, Engineering, and Medicine. 2022. Safety Prediction Models for Six-Lane and One-Way Urban and Suburban Arterials. Washington, DC: The National Academies Press. doi: 10.17226/26515.
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Suggested Citation:"APPENDIX B. Workshop Sample Problems." National Academies of Sciences, Engineering, and Medicine. 2022. Safety Prediction Models for Six-Lane and One-Way Urban and Suburban Arterials. Washington, DC: The National Academies Press. doi: 10.17226/26515.
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Suggested Citation:"APPENDIX B. Workshop Sample Problems." National Academies of Sciences, Engineering, and Medicine. 2022. Safety Prediction Models for Six-Lane and One-Way Urban and Suburban Arterials. Washington, DC: The National Academies Press. doi: 10.17226/26515.
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Suggested Citation:"APPENDIX B. Workshop Sample Problems." National Academies of Sciences, Engineering, and Medicine. 2022. Safety Prediction Models for Six-Lane and One-Way Urban and Suburban Arterials. Washington, DC: The National Academies Press. doi: 10.17226/26515.
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Suggested Citation:"APPENDIX B. Workshop Sample Problems." National Academies of Sciences, Engineering, and Medicine. 2022. Safety Prediction Models for Six-Lane and One-Way Urban and Suburban Arterials. Washington, DC: The National Academies Press. doi: 10.17226/26515.
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Suggested Citation:"APPENDIX B. Workshop Sample Problems." National Academies of Sciences, Engineering, and Medicine. 2022. Safety Prediction Models for Six-Lane and One-Way Urban and Suburban Arterials. Washington, DC: The National Academies Press. doi: 10.17226/26515.
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Suggested Citation:"APPENDIX B. Workshop Sample Problems." National Academies of Sciences, Engineering, and Medicine. 2022. Safety Prediction Models for Six-Lane and One-Way Urban and Suburban Arterials. Washington, DC: The National Academies Press. doi: 10.17226/26515.
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Suggested Citation:"APPENDIX B. Workshop Sample Problems." National Academies of Sciences, Engineering, and Medicine. 2022. Safety Prediction Models for Six-Lane and One-Way Urban and Suburban Arterials. Washington, DC: The National Academies Press. doi: 10.17226/26515.
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Suggested Citation:"APPENDIX B. Workshop Sample Problems." National Academies of Sciences, Engineering, and Medicine. 2022. Safety Prediction Models for Six-Lane and One-Way Urban and Suburban Arterials. Washington, DC: The National Academies Press. doi: 10.17226/26515.
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Suggested Citation:"APPENDIX B. Workshop Sample Problems." National Academies of Sciences, Engineering, and Medicine. 2022. Safety Prediction Models for Six-Lane and One-Way Urban and Suburban Arterials. Washington, DC: The National Academies Press. doi: 10.17226/26515.
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Suggested Citation:"APPENDIX B. Workshop Sample Problems." National Academies of Sciences, Engineering, and Medicine. 2022. Safety Prediction Models for Six-Lane and One-Way Urban and Suburban Arterials. Washington, DC: The National Academies Press. doi: 10.17226/26515.
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Suggested Citation:"APPENDIX B. Workshop Sample Problems." National Academies of Sciences, Engineering, and Medicine. 2022. Safety Prediction Models for Six-Lane and One-Way Urban and Suburban Arterials. Washington, DC: The National Academies Press. doi: 10.17226/26515.
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Suggested Citation:"APPENDIX B. Workshop Sample Problems." National Academies of Sciences, Engineering, and Medicine. 2022. Safety Prediction Models for Six-Lane and One-Way Urban and Suburban Arterials. Washington, DC: The National Academies Press. doi: 10.17226/26515.
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Suggested Citation:"APPENDIX B. Workshop Sample Problems." National Academies of Sciences, Engineering, and Medicine. 2022. Safety Prediction Models for Six-Lane and One-Way Urban and Suburban Arterials. Washington, DC: The National Academies Press. doi: 10.17226/26515.
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Suggested Citation:"APPENDIX B. Workshop Sample Problems." National Academies of Sciences, Engineering, and Medicine. 2022. Safety Prediction Models for Six-Lane and One-Way Urban and Suburban Arterials. Washington, DC: The National Academies Press. doi: 10.17226/26515.
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Suggested Citation:"APPENDIX B. Workshop Sample Problems." National Academies of Sciences, Engineering, and Medicine. 2022. Safety Prediction Models for Six-Lane and One-Way Urban and Suburban Arterials. Washington, DC: The National Academies Press. doi: 10.17226/26515.
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Suggested Citation:"APPENDIX B. Workshop Sample Problems." National Academies of Sciences, Engineering, and Medicine. 2022. Safety Prediction Models for Six-Lane and One-Way Urban and Suburban Arterials. Washington, DC: The National Academies Press. doi: 10.17226/26515.
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Suggested Citation:"APPENDIX B. Workshop Sample Problems." National Academies of Sciences, Engineering, and Medicine. 2022. Safety Prediction Models for Six-Lane and One-Way Urban and Suburban Arterials. Washington, DC: The National Academies Press. doi: 10.17226/26515.
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Suggested Citation:"APPENDIX B. Workshop Sample Problems." National Academies of Sciences, Engineering, and Medicine. 2022. Safety Prediction Models for Six-Lane and One-Way Urban and Suburban Arterials. Washington, DC: The National Academies Press. doi: 10.17226/26515.
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Suggested Citation:"APPENDIX B. Workshop Sample Problems." National Academies of Sciences, Engineering, and Medicine. 2022. Safety Prediction Models for Six-Lane and One-Way Urban and Suburban Arterials. Washington, DC: The National Academies Press. doi: 10.17226/26515.
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Suggested Citation:"APPENDIX B. Workshop Sample Problems." National Academies of Sciences, Engineering, and Medicine. 2022. Safety Prediction Models for Six-Lane and One-Way Urban and Suburban Arterials. Washington, DC: The National Academies Press. doi: 10.17226/26515.
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Suggested Citation:"APPENDIX B. Workshop Sample Problems." National Academies of Sciences, Engineering, and Medicine. 2022. Safety Prediction Models for Six-Lane and One-Way Urban and Suburban Arterials. Washington, DC: The National Academies Press. doi: 10.17226/26515.
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Suggested Citation:"APPENDIX B. Workshop Sample Problems." National Academies of Sciences, Engineering, and Medicine. 2022. Safety Prediction Models for Six-Lane and One-Way Urban and Suburban Arterials. Washington, DC: The National Academies Press. doi: 10.17226/26515.
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Suggested Citation:"APPENDIX B. Workshop Sample Problems." National Academies of Sciences, Engineering, and Medicine. 2022. Safety Prediction Models for Six-Lane and One-Way Urban and Suburban Arterials. Washington, DC: The National Academies Press. doi: 10.17226/26515.
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Suggested Citation:"APPENDIX B. Workshop Sample Problems." National Academies of Sciences, Engineering, and Medicine. 2022. Safety Prediction Models for Six-Lane and One-Way Urban and Suburban Arterials. Washington, DC: The National Academies Press. doi: 10.17226/26515.
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Suggested Citation:"APPENDIX B. Workshop Sample Problems." National Academies of Sciences, Engineering, and Medicine. 2022. Safety Prediction Models for Six-Lane and One-Way Urban and Suburban Arterials. Washington, DC: The National Academies Press. doi: 10.17226/26515.
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Suggested Citation:"APPENDIX B. Workshop Sample Problems." National Academies of Sciences, Engineering, and Medicine. 2022. Safety Prediction Models for Six-Lane and One-Way Urban and Suburban Arterials. Washington, DC: The National Academies Press. doi: 10.17226/26515.
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Suggested Citation:"APPENDIX B. Workshop Sample Problems." National Academies of Sciences, Engineering, and Medicine. 2022. Safety Prediction Models for Six-Lane and One-Way Urban and Suburban Arterials. Washington, DC: The National Academies Press. doi: 10.17226/26515.
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Suggested Citation:"APPENDIX B. Workshop Sample Problems." National Academies of Sciences, Engineering, and Medicine. 2022. Safety Prediction Models for Six-Lane and One-Way Urban and Suburban Arterials. Washington, DC: The National Academies Press. doi: 10.17226/26515.
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Suggested Citation:"APPENDIX B. Workshop Sample Problems." National Academies of Sciences, Engineering, and Medicine. 2022. Safety Prediction Models for Six-Lane and One-Way Urban and Suburban Arterials. Washington, DC: The National Academies Press. doi: 10.17226/26515.
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Suggested Citation:"APPENDIX B. Workshop Sample Problems." National Academies of Sciences, Engineering, and Medicine. 2022. Safety Prediction Models for Six-Lane and One-Way Urban and Suburban Arterials. Washington, DC: The National Academies Press. doi: 10.17226/26515.
×
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Suggested Citation:"APPENDIX B. Workshop Sample Problems." National Academies of Sciences, Engineering, and Medicine. 2022. Safety Prediction Models for Six-Lane and One-Way Urban and Suburban Arterials. Washington, DC: The National Academies Press. doi: 10.17226/26515.
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Suggested Citation:"APPENDIX B. Workshop Sample Problems." National Academies of Sciences, Engineering, and Medicine. 2022. Safety Prediction Models for Six-Lane and One-Way Urban and Suburban Arterials. Washington, DC: The National Academies Press. doi: 10.17226/26515.
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Suggested Citation:"APPENDIX B. Workshop Sample Problems." National Academies of Sciences, Engineering, and Medicine. 2022. Safety Prediction Models for Six-Lane and One-Way Urban and Suburban Arterials. Washington, DC: The National Academies Press. doi: 10.17226/26515.
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Suggested Citation:"APPENDIX B. Workshop Sample Problems." National Academies of Sciences, Engineering, and Medicine. 2022. Safety Prediction Models for Six-Lane and One-Way Urban and Suburban Arterials. Washington, DC: The National Academies Press. doi: 10.17226/26515.
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387 APPENDIX B. WORKSHOP SAMPLE PROBLEMS EXERCISE 1: TWO-WAY ARTERIAL SEGMENT Location: Six-lane divided arterial section Study year: 2016 Area type: Urban Crash data description: No crash data INPUT DATA Basic Roadway Data Number of lanes: 6 Segment length: 0.30 mi Posted speed limit: 45 mph Number of highway-rail grade crossings: 0 Automated speed enforcement: no Cross-Section Data Lane width: 12 ft Outside shoulder width: 4 ft Inside shoulder width: 1 ft Median width: 10 ft Median type: curb Roadside Data Roadside fixed-object offset: 10 ft Roadside fixed-object density: 50/mile Driveway Data Major commercial driveways: 1 Major industrial driveways: 1 Minor driveways: 5 Traffic Data AADT (year 2016): 56,000 veh/day Crash Data Not available OUTPUT SUMMARY What is the total predicted number of crashes? ……………………………... 6.543

388 Safety Prediction Worksheet for Two-Way Urban and Suburban Arterial Segments General Information Site Information Analyst Street number Agency Street name Date Segment number Location Analysis year Output Summary Predicted crash frequency, crashes / year Combined CMF F+I PDO Total F+I PDO Total crashes 2.764 3.779 6.543 Multiple-vehicle crashes 1.067 1.067 Multiple-vehicle crashes 2.358 3.456 Single-vehicle crashes 1.087 1.087 Single-vehicle crashes 0.259 0.323 Vehicle-pedestrian crashes 0.096 Severity distribution for F+I crashes Vehicle-bicycle crashes 0.051 K A B C 0.036 0.186 0.725 1.818 Input Data Value Advisory Messages Basic Roadway Data Area type Urban . Segment type 6D . Segment length, mi 0.3 . Annual average daily traffic (AADT), veh/day 56000 . Number of highway-rail grade crossings present 0 . Posted speed limit, mi/h 45 . Automated speed enforcement present? No . Access Data Driveway count Major commercial 1 3 major comm. driveways per mile. Major industrial 1 3 major industrial driveways per mile. Minor 5 17 minor driveways per mile. Cross Section Data Lane width, ft 12 . Outside shoulder width, ft 4 . Median width, ft 10 . Median barrier present? No . Roadside Data Roadside fixed object count 15 50 objects per mile. Average roadside fixed object offset, ft 10 . Calibration Factors Value Default Values Local calibration factor (C ) 1.000 1.000 Adjustment factor for pedestrians (f ped ) 0.015 0.015 Adjustment factor for bicyclists (f bike ) 0.008 0.008 Severity distribution calibration factor (C sdf,tws ) 1.000 1.000 Crash Modification Factors F+I PDO Multiple Single Multiple Single Lane width 1.000 1.000 1.000 1.000 Outside shoulder width 0.931 0.931 0.931 0.931 Median width 1.029 1.029 1.029 1.029 Median barrier 1.000 1.000 1.000 1.000 Highway-rail grade crossing 1.000 1.000 1.000 1.000 Major commercial driveways 1.048 1.048 Major industrial driveways 1.025 1.025 Minor driveways 1.037 1.037 Automated speed enforcement 1.000 1.000 1.000 1.000 Roadside fixed objects 1.135 1.135 2016 1 Add to Totals worksheet Restore equations Reset input cells

389 EXERCISE 1a: TWO-WAY ARTERIAL SEGMENT Location: Six-lane divided arterial section Study year: 2014 Area type: Urban Crash data description: Data for each individual segment Crash data year: 2014 INPUT DATA Traffic Data AADT (year 2014): 48,000 veh/day Crash Data Crash Type  Count  Fatal‐and‐injury  Property‐damage‐only  Multiple‐vehicle  8  14  Single‐vehicle  1  1    OUTPUT SUMMARY What is the total expected number of crashes? ……………………............. 15.271

390 Safety Prediction Worksheet for Two-Way Urban and Suburban Arterial Segments General Information Site Information Analyst Street number Agency Street name Date Segment number Location Analysis year Output Summary Predicted crash frequency, crashes / year Combined CMF F+I PDO Total F+I PDO Total crashes 2.314 3.237 5.551 Multiple-vehicle crashes 1.067 1.067 Multiple-vehicle crashes 1.948 2.935 Single-vehicle crashes 1.087 1.087 Single-vehicle crashes 0.241 0.303 Vehicle-pedestrian crashes 0.081 Severity distribution for F+I crashes Vehicle-bicycle crashes 0.043 K A B C 0.030 0.156 0.607 1.521 Input Data Value Advisory Messages Basic Roadway Data Area type Urban . Segment type 6D . Segment length, mi 0.3 . Annual average daily traffic (AADT), veh/day 48000 . Number of highway-rail grade crossings present 0 . Posted speed limit, mi/h 45 . Automated speed enforcement present? No . Access Data Driveway count Major commercial 1 3 major comm. driveways per mile. Major industrial 1 3 major industrial driveways per mile. Minor 5 17 minor driveways per mile. Cross Section Data Lane width, ft 12 . Outside shoulder width, ft 4 . Median width, ft 10 . Median barrier present? No . Roadside Data Roadside fixed object count 15 50 objects per mile. Average roadside fixed object offset, ft 10 . Calibration Factors Value Default Values Local calibration factor (C ) 1.000 1.000 Adjustment factor for pedestrians (f ped ) 0.015 0.015 Adjustment factor for bicyclists (f bike ) 0.008 0.008 Severity distribution calibration factor (C sdf,tws ) 1.000 1.000 Crash Modification Factors F+I PDO Multiple Single Multiple Single Lane width 1.000 1.000 1.000 1.000 Outside shoulder width 0.931 0.931 0.931 0.931 Median width 1.029 1.029 1.029 1.029 Median barrier 1.000 1.000 1.000 1.000 Highway-rail grade crossing 1.000 1.000 1.000 1.000 Major commercial driveways 1.048 1.048 Major industrial driveways 1.025 1.025 Minor driveways 1.037 1.037 Automated speed enforcement 1.000 1.000 1.000 1.000 Roadside fixed objects 1.135 1.135 2014 1 Add to Totals worksheet Restore equations Reset input cells

391 B-391 Crash Totals Tabulation Empirical Bayes adjustment type: MV+SV: 14.928 VP+VB: 0.343 F+I: 5.404 PDO: 9.867 Total: 15.271 Facility Totals Site-specific Clear tables Sort rows Calculate Veh-ped Veh-bike F+I PDO F+I PDO F+I PDO F+I F+I 4.704 9.481 0.357 0.386 5.060 9.867 0.224 0.119 0.000 0.000 0.000 0.000 4.704 9.481 0.357 0.386 5.060 9.867 0.224 0.119 Total Expected Crash Frequency, crashes / year Intersections: Segments: Single-vehicleMultiple-vehicle Total: Site type Total-vehicle Number Year Type Street number F+I PDO F+I PDO F+I PDO F+I PDO 1 2016 6D 1.948 2.935 0.241 0.303 8 14 1 1 Vehicle-pedestrian Vehicle-bicycle Predicted crash frequency, crashes / year Site-specific observed crash totals Single-vehicleMultiple-vehicleSingle-vehicleMultiple-vehicle 0.081 Segment Site Information F+I F+I 0.043 Number Year Type Street number 1 2016 6D Segment Site Information F+I PDO F+I PDO F+I PDO F+I PDO 4.704 9.481 0.357 0.386 1.067 1.067 1.087 1.087 Vehicle-bicycle Combined CMF Multiple-vehicle Single-vehicleMultiple-vehicle Single-vehicle Expected crash frequency, crashes / year F+I F+I 0.224 0.119 Vehicle-pedestrian

392 EXERCISE 2: TWO-WAY ARTERIAL SEGMENT Location: Six-lane arterial section with a center two-way left-turn lane (TWLTL) Study year: 2014 Area type: Suburban Crash data description: Data for each individual segment Crash data year: 2014 INPUT DATA Basic Roadway Data Number of lanes: 6 (plus one TWLTL) Segment length: 0.50 mi Posted speed limit: 30 mph Number of highway-rail grade crossings: 1 Automated speed enforcement: yes Cross-Section Data Lane width: 11 ft Outside shoulder width: 2 ft Roadside Data Roadside fixed-object offset: 5 ft Roadside fixed-object density: 80/mile Driveway Data Major commercial driveways: 2 Major industrial driveways: 1 Minor driveways: 10 Traffic Data AADT (year 2014): 26,000 veh/day Crash Data Crash Type  Count  Fatal‐and‐injury  Property‐damage‐only  Multiple‐vehicle  3  5  Single‐vehicle  1  2    OUTPUT SUMMARY What is the total expected number of crashes? ……………………………. 8.034

393 Safety Prediction Worksheet for Two-Way Urban and Suburban Arterial Segments General Information Site Information Analyst Street number Agency Street name Date Segment number Location Analysis year Output Summary Predicted crash frequency, crashes / year Combined CMF F+I PDO Total F+I PDO Total crashes 2.272 3.469 5.741 Multiple-vehicle crashes 1.034 1.246 Multiple-vehicle crashes 1.659 3.012 Single-vehicle crashes 1.279 1.542 Single-vehicle crashes 0.294 0.457 Vehicle-pedestrian crashes 0.184 Severity distribution for F+I crashes Vehicle-bicycle crashes 0.136 K A B C 0.029 0.228 0.726 1.290 Input Data Value Advisory Messages Basic Roadway Data Area type Suburban . Segment type 7T 6 lanes + two-way left-turn lane. Segment length, mi 0.5 . Annual average daily traffic (AADT), veh/day 26000 . Number of highway-rail grade crossings present 1 2 crossings per mile. Posted speed limit, mi/h 30 . Automated speed enforcement present? Yes . Access Data Driveway count Major commercial 2 4 major comm. driveways per mile. Major industrial 1 2 major industrial driveways per mile. Minor 10 20 minor driveways per mile. Cross Section Data Lane width, ft 11 . Outside shoulder width, ft 2 . Median width, ft 10 . Median barrier present? No . Roadside Data Roadside fixed object count 40 80 objects per mile. Average roadside fixed object offset, ft 5 . Calibration Factors Value Default Values Local calibration factor (C ) 1.000 1.000 Adjustment factor for pedestrians (f ped ) 0.034 0.034 Adjustment factor for bicyclists (f bike ) 0.025 0.025 Severity distribution calibration factor (C sdf,tws ) 1.000 1.000 Crash Modification Factors F+I PDO Multiple Single Multiple Single Lane width 1.022 1.022 1.022 1.022 Outside shoulder width 0.986 0.986 0.986 0.986 Median width 1.000 1.000 1.000 1.000 Median barrier 1.000 1.000 1.000 1.000 Highway-rail grade crossing 1.081 1.081 1.081 1.081 Major commercial driveways 1.073 1.073 Major industrial driveways 1.011 1.011 Minor driveways 1.055 1.055 Automated speed enforcement 0.830 0.830 1.000 1.000 Roadside fixed objects 1.416 1.416 2014 1 Add to Totals worksheet Restore equations Reset input cells

394 B-394 Crash Totals Tabulation Empirical Bayes adjustment type: MV+SV: 7.586 VP+VB: 0.448 F+I: 3.055 PDO: 4.978 Total: 8.034 Facility Totals Site-specific Clear tables Sort rows Calculate Veh-ped Veh-bike F+I PDO F+I PDO F+I PDO F+I F+I 2.296 4.347 0.312 0.631 2.608 4.978 0.258 0.190 0.000 0.000 0.000 0.000 2.296 4.347 0.312 0.631 2.608 4.978 0.258 0.190 Total Expected Crash Frequency, crashes / year Intersections: Segments: Single-vehicleMultiple-vehicle Total: Site type Total-vehicle Number Year Type Street number F+I PDO F+I PDO F+I PDO F+I PDO 1 2014 7T 1.659 3.012 0.294 0.457 3 5 1 2 Vehicle-pedestrian Vehicle-bicycle Predicted crash frequency, crashes / year Site-specific observed crash totals Single-vehicleMultiple-vehicleSingle-vehicleMultiple-vehicle 0.184 Segment Site Information F+I F+I 0.136 Number Year Type Street number 1 2014 7T Segment Site Information F+I PDO F+I PDO F+I PDO F+I PDO 2.296 4.347 0.312 0.631 1.034 1.246 1.279 1.542 Vehicle-bicycle Combined CMF Multiple-vehicle Single-vehicleMultiple-vehicle Single-vehicle Expected crash frequency, crashes / year F+I F+I 0.258 0.190 Vehicle-pedestrian

395 EXERCISE 3: TWO-WAY ARTERIAL SEGMENT Location: Conversion of a six-lane divided section into an eight-lane divided section Study year: 2016 Area type: Urban Crash data description: No crash data INPUT DATA (for six-lane divided section) Use data in Exercise 1 INPUT DATA (for eight-lane divided section) Basic Roadway Data Number of lanes: 8 Segment length: 0.30 mi Posted speed limit: 45 mph Number of highway-rail grade crossings: 0 Automated speed enforcement: no Cross-Section Data Lane width: 11 ft Outside shoulder width: 1 ft Inside shoulder width: 1 ft Median width: 2 ft Median type: concrete barrier Roadside Data Roadside fixed-object offset: 10 ft Roadside fixed-object density: 50/mile Driveway Data Major commercial driveways: 1 Major industrial driveways: 1 Minor driveways: 5 Traffic Data AADT (year 2016): 56,000 veh/day Crash Data Not available OUTPUT SUMMARY What is the total predicted number of crashes for the six-lane divided section? …. What is the total predicted number of crashes for the eight-lane divided section? … 6.543 7.346

396 Safety Prediction Worksheet for Two-Way Urban and Suburban Arterial Segments General Information Site Information Analyst Street number Agency Street name Date Segment number Location Analysis year Output Summary Predicted crash frequency, crashes / year Combined CMF F+I PDO Total F+I PDO Total crashes 2.764 3.779 6.543 Multiple-vehicle crashes 1.067 1.067 Multiple-vehicle crashes 2.358 3.456 Single-vehicle crashes 1.087 1.087 Single-vehicle crashes 0.259 0.323 Vehicle-pedestrian crashes 0.096 Severity distribution for F+I crashes Vehicle-bicycle crashes 0.051 K A B C 0.036 0.186 0.725 1.818 Input Data Value Advisory Messages Basic Roadway Data Area type Urban . Segment type 6D . Segment length, mi 0.3 . Annual average daily traffic (AADT), veh/day 56000 . Number of highway-rail grade crossings present 0 . Posted speed limit, mi/h 45 . Automated speed enforcement present? No . Access Data Driveway count Major commercial 1 3 major comm. driveways per mile. Major industrial 1 3 major industrial driveways per mile. Minor 5 17 minor driveways per mile. Cross Section Data Lane width, ft 12 . Outside shoulder width, ft 4 . Median width, ft 10 . Median barrier present? No . Roadside Data Roadside fixed object count 15 50 objects per mile. Average roadside fixed object offset, ft 10 . Calibration Factors Value Default Values Local calibration factor (C ) 1.000 1.000 Adjustment factor for pedestrians (f ped ) 0.015 0.015 Adjustment factor for bicyclists (f bike ) 0.008 0.008 Severity distribution calibration factor (C sdf,tws ) 1.000 1.000 Crash Modification Factors F+I PDO Multiple Single Multiple Single Lane width 1.000 1.000 1.000 1.000 Outside shoulder width 0.931 0.931 0.931 0.931 Median width 1.029 1.029 1.029 1.029 Median barrier 1.000 1.000 1.000 1.000 Highway-rail grade crossing 1.000 1.000 1.000 1.000 Major commercial driveways 1.048 1.048 Major industrial driveways 1.025 1.025 Minor driveways 1.037 1.037 Automated speed enforcement 1.000 1.000 1.000 1.000 Roadside fixed objects 1.135 1.135 2016 1 Add to Totals worksheet Restore equations Reset input cells

397 Safety Prediction Worksheet for Two-Way Urban and Suburban Arterial Segments General Information Site Information Analyst Street number Agency Street name Date Segment number Location Analysis year Output Summary Predicted crash frequency, crashes / year Combined CMF F+I PDO Total F+I PDO Total crashes 2.774 4.572 7.346 Multiple-vehicle crashes 0.746 0.746 Multiple-vehicle crashes 1.975 3.499 Single-vehicle crashes 2.493 2.493 Single-vehicle crashes 0.537 1.073 Vehicle-pedestrian crashes 0.163 Severity distribution for F+I crashes Vehicle-bicycle crashes 0.099 K A B C 0.042 0.156 0.661 1.915 Input Data Value Advisory Messages Basic Roadway Data Area type Urban . Segment type 8D . Segment length, mi 0.3 . Annual average daily traffic (AADT), veh/day 56000 . Number of highway-rail grade crossings present 0 . Posted speed limit, mi/h 45 . Automated speed enforcement present? No . Access Data Driveway count Major commercial 1 3 major comm. driveways per mile. Major industrial 1 3 major industrial driveways per mile. Minor 5 17 minor driveways per mile. Cross Section Data Lane width, ft 11 . Outside shoulder width, ft 1 . Median width, ft 2 . Median barrier present? Yes . Roadside Data Roadside fixed object count 15 50 objects per mile. Average roadside fixed object offset, ft 10 . Calibration Factors Value Default Values Local calibration factor (C ) 1.000 1.000 Adjustment factor for pedestrians (f ped ) 0.023 0.023 Adjustment factor for bicyclists (f bike ) 0.014 0.014 Severity distribution calibration factor (C sdf,tws ) 1.000 1.000 Crash Modification Factors F+I PDO Multiple Single Multiple Single Lane width 1.022 1.022 1.022 1.022 Outside shoulder width 1.014 1.014 1.014 1.014 Median width 1.077 1.077 1.077 1.077 Median barrier 0.600 1.967 0.600 1.967 Highway-rail grade crossing 1.000 1.000 1.000 1.000 Major commercial driveways 1.048 1.048 Major industrial driveways 1.025 1.025 Minor driveways 1.037 1.037 Automated speed enforcement 1.000 1.000 1.000 1.000 Roadside fixed objects 1.135 1.135 2016 1 Add to Totals worksheet Restore equations Reset input cells

398 EXERCISE 4: ONE-WAY ARTERIAL SEGMENT Location: Two-lane one-way arterial section Study year: 2014 Area type: Urban Crash data description: Data for each individual segment Crash data year: 2014 INPUT DATA Basic Roadway Data Number of lanes: 2 Segment length: 0.50 mi Posted speed limit: 30 mph Bike lanes: None Automated speed enforcement: no Parallel parking: on the left side throughout the section Angle parking: on the right side throughout the section Cross-Section Data Lane width: 11 ft Right shoulder width: 0 ft Roadside Data Roadside fixed-object offset: 5 ft Roadside fixed-object density: 16/mile Driveway Data Major commercial driveways: 1 Minor driveways: 10 Traffic Data AADT (year 2014): 12,000 veh/day Crash Data Crash Type  Count  Fatal‐and‐injury  Property‐damage‐only  Multiple‐vehicle  1  2  Single‐vehicle  0  1    OUTPUT SUMMARY What is the total predicted number of crashes? …………………………... 7.236

399 Safety Prediction Worksheet for One-Way Urban and Suburban Arterial Segments General Information Site Information Analyst Street number Agency Street name Date Segment number Location Analysis year Output Summary Predicted crash frequency, crashes / year Combined CMF F+I PDO Total F+I PDO Total crashes 2.987 6.881 9.868 Multiple-vehicle crashes 3.214 3.214 Multiple-vehicle crashes 2.291 6.018 Single-vehicle crashes 3.377 3.377 Single-vehicle crashes 0.427 0.863 Vehicle-pedestrian crashes 0.163 Severity distribution for F+I crashes Vehicle-bicycle crashes 0.106 K A B C 0.036 0.328 1.065 1.558 Input Data Value Advisory Messages Basic Roadway Data Area type Urban . Segment type 2O . Segment length, mi 0.5 . Bicycle lanes present? No . Annual average daily traffic (AADT), veh/day 12000 . Posted speed limit, mi/h 30 . Automated speed enforcement present? No . Access Data Driveway count Major commercial 1 2 major comm. driveways per mile. Minor 10 20 minor driveways per mile. Cross Section Data Lane width, ft 11 . Right shoulder width, ft 0 . Roadside Data On-street parallel parking length on right side, mi 0 . On-street angle parking length on right side, mi 0.5 . On-street parallel parking length on left side, mi 0.5 . On-street angle parking length on left side, mi 0 . Roadside fixed object count 8 16 objects per mile. Average roadside fixed object offset, ft 5 . Calibration Factors Value Default Values Local calibration factor (C ) 1.000 1.000 Adjustment factor for pedestrians (f ped ) 0.017 0.017 Adjustment factor for bicyclists (f bike ) 0.011 0.011 Severity distribution calibration factor (C sdf,ows ) 1.000 1.000 Probability of fatality given K+A severity (P K |K+A ) 0.099 0.099 Crash Modification Factors F+I PDO Multiple Single Multiple Single Right shoulder width 1.084 1.084 1.084 1.084 On-street parallel parking 1.056 1.056 1.056 1.056 On-street angle parking 2.682 2.682 2.682 2.682 Major commercial driveways 1.000 1.000 Minor driveways 1.047 1.047 Automated speed enforcement 1.000 1.000 1.000 1.000 Roadside fixed objects 1.100 1.100 2014 1 Add to Totals worksheet Restore equations Reset input cells

400 B-400 Crash Totals Tabulation Empirical Bayes adjustment type: MV+SV: 7.039 VP+VB: 0.197 F+I: 2.369 PDO: 4.868 Total: 7.236 Facility Totals Site-specific Clear tables Sort rows Calculate Veh-ped Veh-bike F+I PDO F+I PDO F+I PDO F+I F+I 1.833 3.981 0.339 0.886 2.172 4.868 0.120 0.077 0.000 0.000 0.000 0.000 1.833 3.981 0.339 0.886 2.172 4.868 0.120 0.077 Total Expected Crash Frequency, crashes / year Intersections: Segments: Single-vehicleMultiple-vehicle Total: Site type Total-vehicle Number Year Type Street number F+I PDO F+I PDO F+I PDO F+I PDO 1 2014 2O 2.291 6.018 0.427 0.863 1 2 0 1 Vehicle-pedestrian Vehicle-bicycle Predicted crash frequency, crashes / year Site-specific observed crash totals Single-vehicleMultiple-vehicleSingle-vehicleMultiple-vehicle 0.163 Segment Site Information F+I F+I 0.106 Number Year Type Street number 1 2014 2O Segment Site Information F+I PDO F+I PDO F+I PDO F+I PDO 1.833 3.981 0.339 0.886 3.214 3.214 3.377 3.377 Vehicle-bicycle Combined CMF Multiple-vehicle Single-vehicleMultiple-vehicle Single-vehicle Expected crash frequency, crashes / year F+I F+I 0.120 0.077 Vehicle-pedestrian

401 EXERCISE 5: ONE-WAY ARTERIAL SEGMENT Location: Conversion of a two-lane one-way section with parking on both sides into a three-lane one-way section with no parking Study year: 2016 Area type: Urban Crash data description: No crash data INPUT DATA (for two-lane one-way section) Use data in Exercise 4 Traffic Data AADT (year 2016): 16,000 veh/day INPUT DATA (for three-lane one-way section) Basic Roadway Data Number of lanes: 3 Segment length: 0.50 mi Posted speed limit: 30 mph Bike lanes: none Automated speed enforcement: no Parallel parking: no Angle parking: no Cross-Section Data Lane width: 11 ft Right shoulder width: 4 ft Roadside Data Roadside fixed-object offset: 5 ft Roadside fixed-object density: 16/mile Driveway Data Major commercial driveways: 1 Minor driveways: 10 Traffic Data AADT (year 2016): 16,000 veh/day Crash Data Not available OUTPUT SUMMARY What is the total predicted number of crashes for the two-lane one-way section? …. What is the total predicted number of crashes for the three-lane one-way section? … 13.180 4.359

402 Safety Prediction Worksheet for One-Way Urban and Suburban Arterial Segments General Information Site Information Analyst Street number Agency Street name Date Segment number Location Analysis year Output Summary Predicted crash frequency, crashes / year Combined CMF F+I PDO Total F+I PDO Total crashes 4.133 9.047 13.180 Multiple-vehicle crashes 3.214 3.214 Multiple-vehicle crashes 3.292 8.071 Single-vehicle crashes 3.377 3.377 Single-vehicle crashes 0.482 0.977 Vehicle-pedestrian crashes 0.218 Severity distribution for F+I crashes Vehicle-bicycle crashes 0.141 K A B C 0.050 0.454 1.473 2.156 Input Data Value Advisory Messages Basic Roadway Data Area type Urban . Segment type 2O . Segment length, mi 0.5 . Bicycle lanes present? No . Annual average daily traffic (AADT), veh/day 16000 . Posted speed limit, mi/h 30 . Automated speed enforcement present? No . Access Data Driveway count Major commercial 1 2 major comm. driveways per mile. Minor 10 20 minor driveways per mile. Cross Section Data Lane width, ft 11 . Right shoulder width, ft 0 . Roadside Data On-street parallel parking length on right side, mi 0 . On-street angle parking length on right side, mi 0.5 . On-street parallel parking length on left side, mi 0.5 . On-street angle parking length on left side, mi 0 . Roadside fixed object count 8 16 objects per mile. Average roadside fixed object offset, ft 5 . Calibration Factors Value Default Values Local calibration factor (C ) 1.000 1.000 Adjustment factor for pedestrians (f ped ) 0.017 0.017 Adjustment factor for bicyclists (f bike ) 0.011 0.011 Severity distribution calibration factor (C sdf,ows ) 1.000 1.000 Probability of fatality given K+A severity (P K |K+A ) 0.099 0.099 Crash Modification Factors F+I PDO Multiple Single Multiple Single Right shoulder width 1.084 1.084 1.084 1.084 On-street parallel parking 1.056 1.056 1.056 1.056 On-street angle parking 2.682 2.682 2.682 2.682 Major commercial driveways 1.000 1.000 Minor driveways 1.047 1.047 Automated speed enforcement 1.000 1.000 1.000 1.000 Roadside fixed objects 1.100 1.100 2016 1 Add to Totals worksheet Restore equations Reset input cells

403 Safety Prediction Worksheet for One-Way Urban and Suburban Arterial Segments General Information Site Information Analyst Street number Agency Street name Date Segment number Location Analysis year Output Summary Predicted crash frequency, crashes / year Combined CMF F+I PDO Total F+I PDO Total crashes 1.441 2.918 4.359 Multiple-vehicle crashes 1.047 1.047 Multiple-vehicle crashes 1.062 2.603 Single-vehicle crashes 1.100 1.100 Single-vehicle crashes 0.232 0.315 Vehicle-pedestrian crashes 0.101 Severity distribution for F+I crashes Vehicle-bicycle crashes 0.046 K A B C 0.012 0.109 0.464 0.856 Input Data Value Advisory Messages Basic Roadway Data Area type Urban . Segment type 3O . Segment length, mi 0.5 . Bicycle lanes present? No . Annual average daily traffic (AADT), veh/day 16000 . Posted speed limit, mi/h 30 . Automated speed enforcement present? No . Access Data Driveway count Major commercial 1 2 major comm. driveways per mile. Minor 10 20 minor driveways per mile. Cross Section Data Lane width, ft 11 . Right shoulder width, ft 4 . Roadside Data On-street parallel parking length on right side, mi 0 . On-street angle parking length on right side, mi 0 . On-street parallel parking length on left side, mi 0 . On-street angle parking length on left side, mi 0 . Roadside fixed object count 8 16 objects per mile. Average roadside fixed object offset, ft 5 . Calibration Factors Value Default Values Local calibration factor (C ) 1.000 1.000 Adjustment factor for pedestrians (f ped ) 0.024 0.024 Adjustment factor for bicyclists (f bike ) 0.011 0.011 Severity distribution calibration factor (C sdf,ows ) 1.000 1.000 Probability of fatality given K+A severity (P K |K+A ) 0.099 0.099 Crash Modification Factors F+I PDO Multiple Single Multiple Single Right shoulder width 1.000 1.000 1.000 1.000 On-street parallel parking 1.000 1.000 1.000 1.000 On-street angle parking 1.000 1.000 1.000 1.000 Major commercial driveways 1.000 1.000 Minor driveways 1.047 1.047 Automated speed enforcement 1.000 1.000 1.000 1.000 Roadside fixed objects 1.100 1.100 2016 1 Add to Totals worksheet Restore equations Reset input cells

404 EXERCISE 6: TWO-WAY INTERSECTION (2×2) Location: Three-leg signalized intersection on eight-lane divided arterial Study period: 2015 Area type: Suburban Crash data description: No crash data INPUT DATA Basic Intersection Data Intersection traffic control mode: Signal Lighting: Present Number of Lanes Major Street: 8 lanes Minor Street: 4 lanes Left-Turn Lanes Major Street: One approach (one lane) Right-Turn Channelization Major Street: Yes (one approach) Red-light camera: No Traffic Control Left-Turn Operational Mode Protected-only mode on the major continuous street: Yes Right-Turn-On-Red Prohibition Number of approaches: 1 (from the minor street) U-Turn Prohibition Number of approaches: 2 (both on the major street) Traffic Data Major Street AADT (year 2015): 60,000 veh/day Minor Street AADT (year 2015): 15,500 veh/day Pedestrian Data Level of pedestrian activity: Medium Refugee islands: None Number of schools: 1 Number of bus stops: 2 Alcohol sales establishments: 1 Crash Data Not available OUTPUT SUMMARY What is the total predicted number of crashes? …………………………... 12.766

405 Safety Prediction Worksheet for Urban and Suburban Arterial Intersections General Information Site Information Analyst Major street name Agency Minor street name Date Intersection number Location Analysis year Output Summary Predicted crash frequency, crashes / year Combined CMF F+I PDO Total F+I PDO Total crashes 7.093 5.673 12.766 Total-vehicle crashes 1.328 1.328 Total-vehicle crashes 6.482 5.673 Vehicle-pedestrian crashes 6.275 Vehicle-pedestrian crashes 0.259 Vehicle-bicycle crashes 0.352 Severity distribution for F+I crashes K A B C 0.035 0.341 1.845 4.872 Input Data Value Advisory Messages Intersection Data Area type . Number of legs 3SG intersection type Traffic control type . Lighting present? . Red-light cameras present? . Daily pedestrian volume crossing all legs (peds/day) . Maximum number of lanes crossed by a pedestrian . Number of bus stops within 1,000 ft of intersection . School(s) present within 1,000 ft of intersection? . Alcohol sales establishments within 1,000 ft . Street Data Major Minor . Street configuration Two-way Two-way 2x2 intersection configuration Annual average daily traffic (AADT), veh/day 60000 15500 . Number of through lanes 8 4 . Number of approaches with left-turn lanes 1 2 . Number of left-turn movements with protected phasing 1 0 . Number of right-turn movements prohibited on red 0 1 . Number of U-turn movements prohibited 2 0 . Number of approaches with right-turn channelization 1 0 . Calibration Factors Value Default Values Local calibration factor (C ) 1.000 1.000 Adjustment factor for pedestrians for stop control (f ped ) 0.051 0.051 Adjustment factor for bicyclists (f bike ) 0.029 0.029 Severity distribution calibration factor, 2-way (C sdf,twi ) 1.000 1.000 Severity distribution calibration factor, 1-way (C sdf,owi ) 1.000 1.000 Probability of fatality given K+A severity (P K |K+A ) 0.094 0.094 3ST, F+I 3ST, PDO 3SG, F+I 3SG, PDO 4ST, F+I 4ST, PDO 4SG, F+I 4SG, PDO Rear-end collision proportion 0.094 0.154 0.120 0.189 0.079 0.098 0.083 0.148 Angle colllision proportion 0.764 0.629 0.676 0.554 0.806 0.707 0.746 0.552 3ST, F+I 3ST, PDO 3SG, F+I 3SG, PDO 4ST, F+I 4ST, PDO 4SG, F+I 4SG, PDO Rear-end collision proportion 0.100 0.100 0.111 0.143 0.047 0.065 0.030 0.059 Angle colllision proportion 0.300 0.250 0.889 0.571 0.822 0.706 0.837 0.733 Crash Modification Factors F+I PDO Total-vehicle crash CMFs Lighting 0.911 0.911 Red-light cameras 1.000 1.000 Left-turn signal phasing 0.860 0.860 Right-turn-on-red 0.980 0.980 U-turn prohibition 0.922 0.922 Right-turn channelization 1.243 1.243 Number of lanes 1.511 1.511 Vehicle-pedestrian crash CMFs Bus stops 4.150 Schools 1.350 Alcohol sales establishments 1.120 1x2 or 1x1 intersections 2x2 intersections Manner of Collision Proportions 2 Yes 1 3 Suburban Signalized Yes 8 400 No 2015 1 Add to Totals worksheet Restore equations Reset input cells

406 EXERCISE 7: TWO-WAY INTERSECTION (2×2) Location: Four-leg stop-controlled intersection on six-lane divided arterial Study period: 2014 Area type: Suburban Crash data description: Data for each individual intersection Crash data year: 2014 INPUT DATA Basic Intersection Data Intersection traffic control mode: Stop control on minor street Lighting: Present Number of Lanes Major Street: 6 lanes Minor Street: 2 lanes Left-Turn Lanes Major Street: Present (both approaches) Minor Street: None Traffic Data Major Street AADT (year 2014): 40,000 veh/day Minor Street AADT (year 2014): 4,500 veh/day Crash Data Crash Type  Count  Fatal‐and‐injury  Property‐damage‐only  Total‐vehicle  3  5  OUTPUT SUMMARY What is the total predicted number of crashes? …………………………... 8.341

407 Safety Prediction Worksheet for Urban and Suburban Arterial Intersections General Information Site Information Analyst Major street name Agency Minor street name Date Intersection number Location Analysis year Output Summary Predicted crash frequency, crashes / year Combined CMF F+I PDO Total F+I PDO Total crashes 3.349 3.697 7.046 Total-vehicle crashes 0.913 0.913 Total-vehicle crashes 2.779 3.697 Vehicle-pedestrian crashes 6.275 Vehicle-pedestrian crashes 0.317 Vehicle-bicycle crashes 0.253 Severity distribution for F+I crashes K A B C 0.012 0.265 0.980 2.092 Input Data Value Advisory Messages Intersection Data Area type . Number of legs 4ST intersection type Traffic control type . Lighting present? . Red-light cameras present? . Daily pedestrian volume crossing all legs (peds/day) . Maximum number of lanes crossed by a pedestrian . Number of bus stops within 1,000 ft of intersection . School(s) present within 1,000 ft of intersection? . Alcohol sales establishments within 1,000 ft . Street Data Major Minor #N/A Street configuration Two-way Two-way 2x2 intersection configuration Annual average daily traffic (AADT), veh/day 40000 4500 . Number of through lanes 6 2 . Number of approaches with left-turn lanes 1 0 . Number of left-turn movements with protected phasing 0 0 . Number of right-turn movements prohibited on red 0 1 . Number of U-turn movements prohibited 0 0 . Number of approaches with right-turn channelization 1 0 . Calibration Factors Value Default Values Local calibration factor (C ) 1.000 1.000 Adjustment factor for pedestrians for stop control (f ped ) 0.049 0.049 Adjustment factor for bicyclists (f bike ) 0.039 0.039 Severity distribution calibration factor, 2-way (C sdf,twi ) 1.000 1.000 Severity distribution calibration factor, 1-way (C sdf,owi ) 1.000 1.000 Probability of fatality given K+A severity (P K |K+A ) 0.043 0.043 3ST, F+I 3ST, PDO 3SG, F+I 3SG, PDO 4ST, F+I 4ST, PDO 4SG, F+I 4SG, PDO Rear-end collision proportion 0.094 0.154 0.120 0.189 0.079 0.098 0.083 0.148 Angle colllision proportion 0.764 0.629 0.676 0.554 0.806 0.707 0.746 0.552 3ST, F+I 3ST, PDO 3SG, F+I 3SG, PDO 4ST, F+I 4ST, PDO 4SG, F+I 4SG, PDO Rear-end collision proportion 0.100 0.100 0.111 0.143 0.047 0.065 0.030 0.059 Angle colllision proportion 0.300 0.250 0.889 0.571 0.822 0.706 0.837 0.733 Crash Modification Factors F+I PDO Total-vehicle crash CMFs Lighting 0.913 0.913 Red-light cameras 1.000 1.000 Left-turn signal phasing 1.000 1.000 Right-turn-on-red 1.000 1.000 U-turn prohibition 1.000 1.000 Right-turn channelization 1.000 1.000 Number of lanes 1.000 1.000 Vehicle-pedestrian crash CMFs Bus stops 4.150 Schools 1.350 Alcohol sales establishments 1.120 1x2 or 1x1 intersections 2x2 intersections Manner of Collision Proportions 2 Yes 1 4 Suburban Two-way stop Yes 8 400 No 2014 1 Add to Totals worksheet Restore equations Reset input cells

408 B-408 Crash Totals Tabulation Empirical Bayes adjustment type: MV+SV: 7.667 VP+VB: 0.675 F+I: 3.592 PDO: 4.750 Total: 8.341 Facility Totals Site-specific Clear tables Sort rows Calculate Veh-ped Veh-bike F+I PDO F+I PDO F+I PDO F+I F+I 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 2.917 4.750 0.376 0.299 0.000 0.000 0.000 0.000 2.917 4.750 0.376 0.299 Total Expected Crash Frequency, crashes / year Intersections: Segments: Single-vehicleMultiple-vehicle Total: Site type Total-vehicle Number Year Type Configuration F+I PDO 1 2014 4ST Two-way 3 52.779 F+I F+I 3.697 PDO Vehicle-bicycle Total-vehicle Vehicle-pedestrian Site-specific observed crash totals Total-vehicle Intersection Site Information Predicted crash frequency, crashes / year Vehicle-pedestrian F+I F+I 0.2530.317 Number Year Type Configuration 1 2014 4ST Two-way Intersection Site Information F+I PDO 0.913 0.9130.376 6.275 F+I 4.750 PDO 0.2992.917 F+I Total-vehicle Vehicle-pedestrian Vehicle-bicycle Combined CMF Total-vehicle Vehicle-pedestrian F+I F+I Expected crash frequency, crashes / year

409 EXERCISE 8: ONE-WAY INTERSECTION Location: Conversion of a two-way minor street into one-way at a four-leg intersection on one- way arterial Study period: 2015 Area type: Urban Crash data description: No crash data INPUT DATA Basic Intersection Data Intersection traffic control mode: Signal Lighting: Present Minor Street: Two-way to one-way conversion Number of Lanes Major Street: 4 lanes Minor Street: 2 lanes Left-Turn Lanes Major Street: One approach (one lane) Right-Turn Channelization Major Street: No Minor Street: No Red-light camera: Yes Right-Turn-On-Red Prohibition Number of approaches: 0 Traffic Data Major Street AADT (year 2015): 24,000 veh/day Minor Street AADT (year 2015): 10,500 veh/day Pedestrian Data Level of pedestrian activity: High Refugee islands: None Number of schools: 0 Number of bus stops: 1 Alcohol sales establishments: 2 Crash Data Not available OUTPUT SUMMARY What is the total predicted number of crashes when minor street is two-way?... What is the total predicted number of crashes when minor street is one-way?... 4.973 3.726

410 Safety Prediction Worksheet for Urban and Suburban Arterial Intersections General Information Site Information Analyst Major street name Agency Minor street name Date Intersection number Location Analysis year Output Summary Predicted crash frequency, crashes / year Combined CMF F+I PDO Total F+I PDO Total crashes 1.399 3.574 4.973 Total-vehicle crashes 1.028 1.028 Total-vehicle crashes 0.818 3.574 Vehicle-pedestrian crashes 3.114 Vehicle-pedestrian crashes 0.528 Vehicle-bicycle crashes 0.053 Severity distribution for F+I crashes K A B C 0.003 0.061 0.335 1.000 Input Data Value Advisory Messages Intersection Data Area type . Number of legs 4SG intersection type Traffic control type . Lighting present? . Red-light cameras present? . Daily pedestrian volume crossing all legs (peds/day) . Maximum number of lanes crossed by a pedestrian . Number of bus stops within 1,000 ft of intersection . School(s) present within 1,000 ft of intersection? . Alcohol sales establishments within 1,000 ft . Street Data Major Minor . Street configuration One-way Two-way 1x2 intersection configuration Annual average daily traffic (AADT), veh/day 24000 10500 . Number of through lanes 4 2 . Number of approaches with left-turn lanes 1 0 . Number of left-turn movements with protected phasing 0 0 . Number of right-turn movements prohibited on red 0 0 . Number of U-turn movements prohibited 0 0 . Number of approaches with right-turn channelization 0 0 . Calibration Factors Value Default Values Local calibration factor (C ) 1.000 1.000 Adjustment factor for pedestrians for stop control (f ped ) 0.020 0.020 Adjustment factor for bicyclists (f bike ) 0.012 0.012 Severity distribution calibration factor, 2-way (C sdf,twi ) 1.000 1.000 Severity distribution calibration factor, 1-way (C sdf,owi ) 1.000 1.000 Probability of fatality given K+A severity (P K |K+A ) 0.046 0.046 3ST, F+I 3ST, PDO 3SG, F+I 3SG, PDO 4ST, F+I 4ST, PDO 4SG, F+I 4SG, PDO Rear-end collision proportion 0.094 0.154 0.120 0.189 0.079 0.098 0.083 0.148 Angle colllision proportion 0.764 0.629 0.676 0.554 0.806 0.707 0.746 0.552 3ST, F+I 3ST, PDO 3SG, F+I 3SG, PDO 4ST, F+I 4ST, PDO 4SG, F+I 4SG, PDO Rear-end collision proportion 0.100 0.100 0.111 0.143 0.047 0.065 0.030 0.059 Angle colllision proportion 0.300 0.250 0.889 0.571 0.822 0.706 0.837 0.733 Crash Modification Factors F+I PDO Total-vehicle crash CMFs Lighting 0.911 0.911 Red-light cameras 0.788 0.788 Left-turn signal phasing 1.000 1.000 Right-turn-on-red 1.000 1.000 U-turn prohibition 1.000 1.000 Right-turn channelization 1.000 1.000 Number of lanes 1.433 1.433 Vehicle-pedestrian crash CMFs Bus stops 2.780 Schools 1.000 Alcohol sales establishments 1.120 1x2 or 1x1 intersections 2x2 intersections Manner of Collision Proportions 1 No 2 4 Urban Signalized Yes 4 3200 Yes 2015 1 Add to Totals worksheet Restore equations Reset input cells

411 Safety Prediction Worksheet for Urban and Suburban Arterial Intersections General Information Site Information Analyst Major street name Agency Minor street name Date Intersection number Location Analysis year Output Summary Predicted crash frequency, crashes / year Combined CMF F+I PDO Total F+I PDO Total crashes 1.307 2.420 3.726 Total-vehicle crashes 1.028 1.028 Total-vehicle crashes 0.740 2.420 Vehicle-pedestrian crashes 3.114 Vehicle-pedestrian crashes 0.528 Vehicle-bicycle crashes 0.038 Severity distribution for F+I crashes K A B C 0.003 0.057 0.312 0.934 Input Data Value Advisory Messages Intersection Data Area type . Number of legs 4SG intersection type Traffic control type . Lighting present? . Red-light cameras present? . Daily pedestrian volume crossing all legs (peds/day) . Maximum number of lanes crossed by a pedestrian . Number of bus stops within 1,000 ft of intersection . School(s) present within 1,000 ft of intersection? . Alcohol sales establishments within 1,000 ft . Street Data Major Minor . Street configuration One-way One-way 1x1 intersection configuration Annual average daily traffic (AADT), veh/day 24000 10500 . Number of through lanes 4 2 . Number of approaches with left-turn lanes 1 0 . Number of left-turn movements with protected phasing 0 0 . Number of right-turn movements prohibited on red 0 0 . Number of U-turn movements prohibited 0 0 . Number of approaches with right-turn channelization 0 0 . Calibration Factors Value Default Values Local calibration factor (C ) 1.000 1.000 Adjustment factor for pedestrians for stop control (f ped ) 0.020 0.020 Adjustment factor for bicyclists (f bike ) 0.012 0.012 Severity distribution calibration factor, 2-way (C sdf,twi ) 1.000 1.000 Severity distribution calibration factor, 1-way (C sdf,owi ) 1.000 1.000 Probability of fatality given K+A severity (P K |K+A ) 0.046 0.046 3ST, F+I 3ST, PDO 3SG, F+I 3SG, PDO 4ST, F+I 4ST, PDO 4SG, F+I 4SG, PDO Rear-end collision proportion 0.094 0.154 0.120 0.189 0.079 0.098 0.083 0.148 Angle colllision proportion 0.764 0.629 0.676 0.554 0.806 0.707 0.746 0.552 3ST, F+I 3ST, PDO 3SG, F+I 3SG, PDO 4ST, F+I 4ST, PDO 4SG, F+I 4SG, PDO Rear-end collision proportion 0.100 0.100 0.111 0.143 0.047 0.065 0.030 0.059 Angle colllision proportion 0.300 0.250 0.889 0.571 0.822 0.706 0.837 0.733 Crash Modification Factors F+I PDO Total-vehicle crash CMFs Lighting 0.911 0.911 Red-light cameras 0.788 0.788 Left-turn signal phasing 1.000 1.000 Right-turn-on-red 1.000 1.000 U-turn prohibition 1.000 1.000 Right-turn channelization 1.000 1.000 Number of lanes 1.433 1.433 Vehicle-pedestrian crash CMFs Bus stops 2.780 Schools 1.000 Alcohol sales establishments 1.120 1x2 or 1x1 intersections 2x2 intersections Manner of Collision Proportions 1 No 2 4 Urban Signalized Yes 4 3200 Yes 2015 1 Add to Totals worksheet Restore equations Reset input cells

412 EXERCISE 9: TWO-WAY ARTERIAL PROJECT Location: A two-way six-lane divided arterial street project with three homogenous segments, one four-leg signalized intersection, and one three-leg stop-controlled intersection Study year: 2016 Area type: Urban Crash data description: No crash data INPUT DATA (Segments) Basic Roadway Data     Segment 1  Segment 2  Segment 3  Number of lanes  6  6  6  Segment length (mi)  0.7  0.3  0.5  Posted speed limit (mph)  45  45  45  Highway‐rail grade crossings  0  0  1  Automated speed enforcement  no  no  no  Cross-Section Data Lane width (ft)  11  10  10  Outside shoulder width (ft)  4  3  3  Inside shoulder width (ft)  1  1  1  Median width (ft)  8  5  5  Median type  curb  curb  curb  Roadside Data Roadside fixed‐object offset (ft)  15  10  8  Roadside fixed‐object density  50/mile  80/mile  80/mile  Driveway Data Major commercial driveways  2  1  2  Major industrial driveways  1  0  0  Minor driveways  15  6  15  Traffic Data AADT (in 2016)  65,000  55,000  55,000  Crash Data Not available INPUT DATA (Intersections) Basic Roadway Data     Intersection 1  Intersection 2  Intersection traffic control mode  signal  unsignalized  Approaches (legs)  4  3  Lighting  present  not present  Number of minor‐street lanes  4  2  Left‐turn lanes (major street)  two approaches  one approach  Left‐turn lanes (minor street)  none  none  Right‐turn channelization  On major street  On major street  Red‐light camera  no  no  Traffic Control

413 Left‐turn operational mode  Protected/permitted  –  Right‐turn‐on‐red prohibition  2 approaches  –  U‐turn prohibition  2 approaches  –  Traffic Data Minor‐street AADT (in 2016)  25,000  5,000  Pedestrian Data Level of pedestrian activity  High  –  Number of schools  1  –  Number of bus stops  2  –  Alcohol sales establishments  1  –  Refuge Island  On major‐street  median (nlanesx = 4)  –  Crash Data Not available OUTPUT SUMMARY What is the total predicted number of crashes? …………………………... 65.040

414 Safety Prediction Worksheet for Two-Way Urban and Suburban Arterial Segments General Information Site Information Analyst Street number Agency Street name Date Segment number Location Analysis year Output Summary Predicted crash frequency, crashes / year Combined CMF F+I PDO Total F+I PDO Total crashes 7.808 10.437 18.245 Multiple-vehicle crashes 1.091 1.091 Multiple-vehicle crashes 6.767 9.653 Single-vehicle crashes 1.060 1.060 Single-vehicle crashes 0.631 0.784 Vehicle-pedestrian crashes 0.268 Severity distribution for F+I crashes Vehicle-bicycle crashes 0.143 K A B C 0.101 0.526 2.047 5.134 Input Data Value Advisory Messages Basic Roadway Data Area type Urban . Segment type 6D . Segment length, mi 0.7 . Annual average daily traffic (AADT), veh/day 65000 . Number of highway-rail grade crossings present 0 . Posted speed limit, mi/h 45 . Automated speed enforcement present? No . Access Data Driveway count Major commercial 2 3 major comm. driveways per mile. Major industrial 1 1 major industrial driveways per mile. Minor 15 21 minor driveways per mile. Cross Section Data Lane width, ft 11 . Outside shoulder width, ft 4 . Median width, ft 8 . Median barrier present? No . Roadside Data Roadside fixed object count 35 50 objects per mile. Average roadside fixed object offset, ft 15 . Calibration Factors Value Default Values Local calibration factor (C ) 1.000 1.000 Adjustment factor for pedestrians (f ped ) 0.015 0.015 Adjustment factor for bicyclists (f bike ) 0.008 0.008 Severity distribution calibration factor (C sdf,tws ) 1.000 1.000 Crash Modification Factors F+I PDO Multiple Single Multiple Single Lane width 1.022 1.022 1.022 1.022 Outside shoulder width 0.931 0.931 0.931 0.931 Median width 1.041 1.041 1.041 1.041 Median barrier 1.000 1.000 1.000 1.000 Highway-rail grade crossing 1.000 1.000 1.000 1.000 Major commercial driveways 1.030 1.030 Major industrial driveways 1.005 1.005 Minor driveways 1.064 1.064 Automated speed enforcement 1.000 1.000 1.000 1.000 Roadside fixed objects 1.070 1.070 2016 1 Add to Totals worksheet Restore equations Reset input cells

415 Safety Prediction Worksheet for Two-Way Urban and Suburban Arterial Segments General Information Site Information Analyst Street number Agency Street name Date Segment number Location Analysis year Output Summary Predicted crash frequency, crashes / year Combined CMF F+I PDO Total F+I PDO Total crashes 2.969 4.064 7.033 Multiple-vehicle crashes 1.160 1.160 Multiple-vehicle crashes 2.506 3.684 Single-vehicle crashes 1.289 1.289 Single-vehicle crashes 0.304 0.380 Vehicle-pedestrian crashes 0.103 Severity distribution for F+I crashes Vehicle-bicycle crashes 0.055 K A B C 0.038 0.200 0.778 1.952 Input Data Value Advisory Messages Basic Roadway Data Area type Urban . Segment type 6D . Segment length, mi 0.3 . Annual average daily traffic (AADT), veh/day 55000 . Number of highway-rail grade crossings present 0 . Posted speed limit, mi/h 45 . Automated speed enforcement present? No . Access Data Driveway count Major commercial 1 3 major comm. driveways per mile. Major industrial 0 . Minor 6 20 minor driveways per mile. Cross Section Data Lane width, ft 10 . Outside shoulder width, ft 3 . Median width, ft 5 . Median barrier present? No . Roadside Data Roadside fixed object count 24 80 objects per mile. Average roadside fixed object offset, ft 10 . Calibration Factors Value Default Values Local calibration factor (C ) 1.000 1.000 Adjustment factor for pedestrians (f ped ) 0.015 0.015 Adjustment factor for bicyclists (f bike ) 0.008 0.008 Severity distribution calibration factor (C sdf,tws ) 1.000 1.000 Crash Modification Factors F+I PDO Multiple Single Multiple Single Lane width 1.045 1.045 1.045 1.045 Outside shoulder width 0.958 0.958 0.958 0.958 Median width 1.059 1.059 1.059 1.059 Median barrier 1.000 1.000 1.000 1.000 Highway-rail grade crossing 1.000 1.000 1.000 1.000 Major commercial driveways 1.048 1.048 Major industrial driveways 0.989 0.989 Minor driveways 1.055 1.055 Automated speed enforcement 1.000 1.000 1.000 1.000 Roadside fixed objects 1.216 1.216 2016 2 Add to Totals worksheet Restore equations Reset input cells

416 Safety Prediction Worksheet for Two-Way Urban and Suburban Arterial Segments General Information Site Information Analyst Street number Agency Street name Date Segment number Location Analysis year Output Summary Predicted crash frequency, crashes / year Combined CMF F+I PDO Total F+I PDO Total crashes 5.708 7.827 13.535 Multiple-vehicle crashes 1.354 1.354 Multiple-vehicle crashes 4.877 7.169 Single-vehicle crashes 1.338 1.338 Single-vehicle crashes 0.527 0.658 Vehicle-pedestrian crashes 0.198 Severity distribution for F+I crashes Vehicle-bicycle crashes 0.106 K A B C 0.074 0.385 1.496 3.753 Input Data Value Advisory Messages Basic Roadway Data Area type Urban . Segment type 6D . Segment length, mi 0.5 . Annual average daily traffic (AADT), veh/day 55000 . Number of highway-rail grade crossings present 1 2 crossings per mile. Posted speed limit, mi/h 45 . Automated speed enforcement present? No . Access Data Driveway count Major commercial 2 4 major comm. driveways per mile. Major industrial 0 . Minor 15 30 minor driveways per mile. Cross Section Data Lane width, ft 10 . Outside shoulder width, ft 3 . Median width, ft 5 . Median barrier present? No . Roadside Data Roadside fixed object count 24 48 objects per mile. Average roadside fixed object offset, ft 8 . Calibration Factors Value Default Values Local calibration factor (C ) 1.000 1.000 Adjustment factor for pedestrians (f ped ) 0.015 0.015 Adjustment factor for bicyclists (f bike ) 0.008 0.008 Severity distribution calibration factor (C sdf,tws ) 1.000 1.000 Crash Modification Factors F+I PDO Multiple Single Multiple Single Lane width 1.045 1.045 1.045 1.045 Outside shoulder width 0.958 0.958 0.958 0.958 Median width 1.059 1.059 1.059 1.059 Median barrier 1.000 1.000 1.000 1.000 Highway-rail grade crossing 1.081 1.081 1.081 1.081 Major commercial driveways 1.073 1.073 Major industrial driveways 0.989 0.989 Minor driveways 1.114 1.114 Automated speed enforcement 1.000 1.000 1.000 1.000 Roadside fixed objects 1.168 1.168 2016 3 Add to Totals worksheet Restore equations Reset input cells

417 Safety Prediction Worksheet for Urban and Suburban Arterial Intersections General Information Site Information Analyst Major street name Agency Minor street name Date Intersection number Location Analysis year Output Summary Predicted crash frequency, crashes / year Combined CMF F+I PDO Total F+I PDO Total crashes 10.831 7.903 18.733 Total-vehicle crashes 1.142 1.142 Total-vehicle crashes 9.001 7.903 Vehicle-pedestrian crashes 6.275 Vehicle-pedestrian crashes 1.508 Vehicle-bicycle crashes 0.321 Severity distribution for F+I crashes K A B C 0.043 0.416 2.410 7.962 Input Data Value Advisory Messages Intersection Data Area type . Number of legs 4SG intersection type Traffic control type . Lighting present? . Red-light cameras present? . Daily pedestrian volume crossing all legs (peds/day) . Maximum number of lanes crossed by a pedestrian . Number of bus stops within 1,000 ft of intersection . School(s) present within 1,000 ft of intersection? . Alcohol sales establishments within 1,000 ft . Street Data Major Minor . Street configuration Two-way Two-way 2x2 intersection configuration Annual average daily traffic (AADT), veh/day 60000 25000 . Number of through lanes 6 4 . Number of approaches with left-turn lanes 2 0 . Number of left-turn movements with protected phasing 0 0 . Number of right-turn movements prohibited on red 0 2 . Number of U-turn movements prohibited 2 0 . Number of approaches with right-turn channelization 1 0 . Calibration Factors Value Default Values Local calibration factor (C ) 1.000 1.000 Adjustment factor for pedestrians for stop control (f ped ) 0.049 0.049 Adjustment factor for bicyclists (f bike ) 0.019 0.019 Severity distribution calibration factor, 2-way (C sdf,twi ) 1.000 1.000 Severity distribution calibration factor, 1-way (C sdf,owi ) 1.000 1.000 Probability of fatality given K+A severity (P K |K+A ) 0.094 0.094 3ST, F+I 3ST, PDO 3SG, F+I 3SG, PDO 4ST, F+I 4ST, PDO 4SG, F+I 4SG, PDO Rear-end collision proportion 0.094 0.154 0.120 0.189 0.079 0.098 0.083 0.148 Angle colllision proportion 0.764 0.629 0.676 0.554 0.806 0.707 0.746 0.552 3ST, F+I 3ST, PDO 3SG, F+I 3SG, PDO 4ST, F+I 4ST, PDO 4SG, F+I 4SG, PDO Rear-end collision proportion 0.100 0.100 0.111 0.143 0.047 0.065 0.030 0.059 Angle colllision proportion 0.300 0.250 0.889 0.571 0.822 0.706 0.837 0.733 Crash Modification Factors F+I PDO Total-vehicle crash CMFs Lighting 0.911 0.911 Red-light cameras 1.000 1.000 Left-turn signal phasing 1.000 1.000 Right-turn-on-red 0.960 0.960 U-turn prohibition 0.922 0.922 Right-turn channelization 1.243 1.243 Number of lanes 1.139 1.139 Vehicle-pedestrian crash CMFs Bus stops 4.150 Schools 1.350 Alcohol sales establishments 1.120 1x2 or 1x1 intersections 2x2 intersections Manner of Collision Proportions 2 Yes 1 4 Urban Signalized Yes 4 3200 No 2016 1 Add to Totals worksheet Restore equations Reset input cells

418 Safety Prediction Worksheet for Urban and Suburban Arterial Intersections General Information Site Information Analyst Major street name Agency Minor street name Date Intersection number Location Analysis year Output Summary Predicted crash frequency, crashes / year Combined CMF F+I PDO Total F+I PDO Total crashes 4.656 2.838 7.494 Total-vehicle crashes 1.000 1.000 Total-vehicle crashes 3.981 2.838 Vehicle-pedestrian crashes 6.275 Vehicle-pedestrian crashes 0.348 Vehicle-bicycle crashes 0.327 Severity distribution for F+I crashes K A B C 0.026 0.574 1.401 2.655 Input Data Value Advisory Messages Intersection Data Area type . Number of legs 3ST intersection type Traffic control type . Lighting present? . Red-light cameras present? . Daily pedestrian volume crossing all legs (peds/day) . Maximum number of lanes crossed by a pedestrian . Number of bus stops within 1,000 ft of intersection . School(s) present within 1,000 ft of intersection? . Alcohol sales establishments within 1,000 ft . Street Data Major Minor #N/A Street configuration Two-way Two-way 2x2 intersection configuration Annual average daily traffic (AADT), veh/day 55000 5000 . Number of through lanes 6 2 . Number of approaches with left-turn lanes 2 0 . Number of left-turn movements with protected phasing 0 0 . Number of right-turn movements prohibited on red 0 2 . Number of U-turn movements prohibited 0 0 . Number of approaches with right-turn channelization 1 0 . Calibration Factors Value Default Values Local calibration factor (C ) 1.000 1.000 Adjustment factor for pedestrians for stop control (f ped ) 0.051 0.051 Adjustment factor for bicyclists (f bike ) 0.048 0.048 Severity distribution calibration factor, 2-way (C sdf,twi ) 1.000 1.000 Severity distribution calibration factor, 1-way (C sdf,owi ) 1.000 1.000 Probability of fatality given K+A severity (P K |K+A ) 0.043 0.043 3ST, F+I 3ST, PDO 3SG, F+I 3SG, PDO 4ST, F+I 4ST, PDO 4SG, F+I 4SG, PDO Rear-end collision proportion 0.094 0.154 0.120 0.189 0.079 0.098 0.083 0.148 Angle colllision proportion 0.764 0.629 0.676 0.554 0.806 0.707 0.746 0.552 3ST, F+I 3ST, PDO 3SG, F+I 3SG, PDO 4ST, F+I 4ST, PDO 4SG, F+I 4SG, PDO Rear-end collision proportion 0.100 0.100 0.111 0.143 0.047 0.065 0.030 0.059 Angle colllision proportion 0.300 0.250 0.889 0.571 0.822 0.706 0.837 0.733 Crash Modification Factors F+I PDO Total-vehicle crash CMFs Lighting 1.000 1.000 Red-light cameras 1.000 1.000 Left-turn signal phasing 1.000 1.000 Right-turn-on-red 1.000 1.000 U-turn prohibition 1.000 1.000 Right-turn channelization 1.000 1.000 Number of lanes 1.000 1.000 Vehicle-pedestrian crash CMFs Bus stops 4.150 Schools 1.350 Alcohol sales establishments 1.120 1x2 or 1x1 intersections 2x2 intersections Manner of Collision Proportions 2 Yes 1 3 Urban Two-way stop No 4 3200 No 2016 2 Add to Totals worksheet Restore equations Reset input cells

419 Crash Totals Tabulation Empirical Bayes adjustment type: MV+SV: 61.663 VP+VB: 3.377 F+I: 31.972 PDO: 33.069 Total: 65.040 Facility Totals None Clear tables Sort rows Calculate Veh-ped Veh-bike F+I PDO F+I PDO F+I PDO F+I F+I 14.150 20.506 1.462 1.823 15.612 22.329 0.569 0.304 12.982 10.740 1.856 0.648 14.150 20.506 1.462 1.823 28.594 33.069 2.425 0.952 Total Predicted Crash Frequency, crashes / year Intersections: Segments: Single-vehicleMultiple-vehicle Total: Site type Total-vehicle Number Year Type Street number F+I PDO F+I PDO 1 2016 6D 6.767 9.653 0.631 0.784 2 2016 6D 2.506 3.684 0.304 0.380 3 2016 6D 4.877 7.169 0.527 0.658 Vehicle-pedestrian Vehicle-bicycle Predicted crash frequency, crashes / year Single-vehicleMultiple-vehicle 0.198 0.103 0.268 Segment Site Information F+I F+I 0.106 0.055 0.143 Number Year Type Configuration 1 2016 4SG Two-way 2 2016 3ST Two-way 3.981 9.001 F+I 2.838 7.903 PDO Vehicle-bicycleTotal-vehicle Intersection Site Information Predicted crash frequency, crashes / year Vehicle-pedestrian F+I F+I 0.327 0.321 0.348 1.508

420 EXERCISE 10: ONE-WAY ARTERIAL PROJECT Location: A one-way three-lane arterial street project with three homogenous segments and two four-leg street intersections Study year: 2016 Area type: Urban Crash data description: No crash data INPUT DATA (Segments) Basic Roadway Data     Segment 1  Segment 2  Segment 3  Number of lanes  3  3  3  Segment length (mi)  0.2  0.1  0.3  Posted speed limit (mph)  30  30  30  Bike lanes  present   present  none  Automated speed enforcement  no  no   no  Cross-Section Data Lane width (ft)  10  11  10  Right shoulder width (ft)  0  0  3  Parallel parking  no  no  no  Angle parking  yes, left side  yes, left side  yes, left side  Roadside Data Roadside fixed‐object offset (ft)  10  10  6  Roadside fixed‐object density  20/mile  30/mile  20/mile  Driveway Data Major commercial driveways  1  1  2  Minor driveways  8  4  15  Traffic Data AADT (in 2016)  25,000  23,000  21,000  Crash Data Not available INPUT DATA (Intersections) Basic Roadway Data     Intersection 1  Intersection 2  Intersection traffic control mode  signal  signal  Legs  4  4  Lighting  present  not present  Minor street  two‐way  one‐way  Red‐light camera  no  no  Number of minor‐street lanes  4  2  Left‐turn lanes (major street)  one approach  one approach  Left‐turn lanes (minor street)  none  none  Right‐turn channelization  on major street  on minor street  Right‐turn‐on‐red prohibition  none  none 

421 Traffic Data Minor‐street AADT (in 2016)  12,000  5,000  Pedestrian Data Level of pedestrian activity  High  Medium‐high  Number of schools  1  1  Number of bus stops  2  3  Alcohol sales establishments  0  1  Refuge islands  None   (nlanesx = 4)  None   (nlanesx = 4)  Crash Data Not available OUTPUT SUMMARY What is the total predicted number of crashes? …………………………... 35.421

422 Safety Prediction Worksheet for One-Way Urban and Suburban Arterial Segments General Information Site Information Analyst Street number Agency Street name Date Segment number Location Analysis year Output Summary Predicted crash frequency, crashes / year Combined CMF F+I PDO Total F+I PDO Total crashes 3.130 5.952 9.082 Multiple-vehicle crashes 3.519 3.519 Multiple-vehicle crashes 2.505 5.517 Single-vehicle crashes 3.134 3.134 Single-vehicle crashes 0.319 0.435 Vehicle-pedestrian crashes 0.211 Severity distribution for F+I crashes Vehicle-bicycle crashes 0.097 K A B C 0.078 0.709 1.244 1.100 Input Data Value Advisory Messages Basic Roadway Data Area type Urban . Segment type 3O . Segment length, mi 0.2 . Bicycle lanes present? Yes . Annual average daily traffic (AADT), veh/day 25000 . Posted speed limit, mi/h 30 . Automated speed enforcement present? No . Access Data Driveway count Major commercial 1 5 major comm. driveways per mile. Minor 8 40 minor driveways per mile. Cross Section Data Lane width, ft 10 . Right shoulder width, ft 0 . Roadside Data On-street parallel parking length on right side, mi 0 . On-street angle parking length on right side, mi 0 . On-street parallel parking length on left side, mi 0 . On-street angle parking length on left side, mi 0.2 . Roadside fixed object count 4 20 objects per mile. Average roadside fixed object offset, ft 10 . Calibration Factors Value Default Values Local calibration factor (C ) 1.000 1.000 Adjustment factor for pedestrians (f ped ) 0.024 0.024 Adjustment factor for bicyclists (f bike ) 0.011 0.011 Severity distribution calibration factor (C sdf,ows ) 1.000 1.000 Probability of fatality given K+A severity (P K |K+A ) 0.099 0.099 Crash Modification Factors F+I PDO Multiple Single Multiple Single Right shoulder width 1.084 1.084 1.084 1.084 On-street parallel parking 1.000 1.000 1.000 1.000 On-street angle parking 2.682 2.682 2.682 2.682 Major commercial driveways 1.055 1.055 Minor driveways 1.148 1.148 Automated speed enforcement 1.000 1.000 1.000 1.000 Roadside fixed objects 1.078 1.078 2016 1 Add to Totals worksheet Restore equations Reset input cells

423 Safety Prediction Worksheet for One-Way Urban and Suburban Arterial Segments General Information Site Information Analyst Street number Agency Street name Date Segment number Location Analysis year Output Summary Predicted crash frequency, crashes / year Combined CMF F+I PDO Total F+I PDO Total crashes 1.544 2.985 4.530 Multiple-vehicle crashes 3.844 3.844 Multiple-vehicle crashes 1.232 2.768 Single-vehicle crashes 3.248 3.248 Single-vehicle crashes 0.159 0.217 Vehicle-pedestrian crashes 0.105 Severity distribution for F+I crashes Vehicle-bicycle crashes 0.048 K A B C 0.035 0.319 0.632 0.559 Input Data Value Advisory Messages Basic Roadway Data Area type Urban . Segment type 3O . Segment length, mi 0.1 . Bicycle lanes present? Yes . Annual average daily traffic (AADT), veh/day 23000 . Posted speed limit, mi/h 30 . Automated speed enforcement present? No . Access Data Driveway count Major commercial 1 10 major comm. driveways per mile. Minor 4 40 minor driveways per mile. Cross Section Data Lane width, ft 11 . Right shoulder width, ft 0 . Roadside Data On-street parallel parking length on right side, mi 0 . On-street angle parking length on right side, mi 0 . On-street parallel parking length on left side, mi 0 . On-street angle parking length on left side, mi 0.1 . Roadside fixed object count 3 30 objects per mile. Average roadside fixed object offset, ft 10 . Calibration Factors Value Default Values Local calibration factor (C ) 1.000 1.000 Adjustment factor for pedestrians (f ped ) 0.024 0.024 Adjustment factor for bicyclists (f bike ) 0.011 0.011 Severity distribution calibration factor (C sdf,ows ) 1.000 1.000 Probability of fatality given K+A severity (P K |K+A ) 0.099 0.099 Crash Modification Factors F+I PDO Multiple Single Multiple Single Right shoulder width 1.084 1.084 1.084 1.084 On-street parallel parking 1.000 1.000 1.000 1.000 On-street angle parking 2.682 2.682 2.682 2.682 Major commercial driveways 1.152 1.152 Minor driveways 1.148 1.148 Automated speed enforcement 1.000 1.000 1.000 1.000 Roadside fixed objects 1.117 1.117 2016 2 Add to Totals worksheet Restore equations Reset input cells

424 Safety Prediction Worksheet for One-Way Urban and Suburban Arterial Segments General Information Site Information Analyst Street number Agency Street name Date Segment number Location Analysis year Output Summary Predicted crash frequency, crashes / year Combined CMF F+I PDO Total F+I PDO Total crashes 3.883 7.622 11.505 Multiple-vehicle crashes 3.572 3.572 Multiple-vehicle crashes 3.062 7.033 Single-vehicle crashes 3.048 3.048 Single-vehicle crashes 0.432 0.589 Vehicle-pedestrian crashes 0.267 Severity distribution for F+I crashes Vehicle-bicycle crashes 0.122 K A B C 0.040 0.360 1.271 2.212 Input Data Value Advisory Messages Basic Roadway Data Area type Urban . Segment type 3O . Segment length, mi 0.3 . Bicycle lanes present? No . Annual average daily traffic (AADT), veh/day 21000 . Posted speed limit, mi/h 30 . Automated speed enforcement present? No . Access Data Driveway count Major commercial 2 7 major comm. driveways per mile. Minor 15 50 minor driveways per mile. Cross Section Data Lane width, ft 10 . Right shoulder width, ft 3 . Roadside Data On-street parallel parking length on right side, mi 0 . On-street angle parking length on right side, mi 0 . On-street parallel parking length on left side, mi 0 . On-street angle parking length on left side, mi 0.3 . Roadside fixed object count 6 20 objects per mile. Average roadside fixed object offset, ft 6 . Calibration Factors Value Default Values Local calibration factor (C ) 1.000 1.000 Adjustment factor for pedestrians (f ped ) 0.024 0.024 Adjustment factor for bicyclists (f bike ) 0.011 0.011 Severity distribution calibration factor (C sdf,ows ) 1.000 1.000 Probability of fatality given K+A severity (P K |K+A ) 0.099 0.099 Crash Modification Factors F+I PDO Multiple Single Multiple Single Right shoulder width 1.020 1.020 1.020 1.020 On-street parallel parking 1.000 1.000 1.000 1.000 On-street angle parking 2.682 2.682 2.682 2.682 Major commercial driveways 1.086 1.086 Minor driveways 1.202 1.202 Automated speed enforcement 1.000 1.000 1.000 1.000 Roadside fixed objects 1.114 1.114 2016 3 Add to Totals worksheet Restore equations Reset input cells

425 Safety Prediction Worksheet for Urban and Suburban Arterial Intersections General Information Site Information Analyst Major street name Agency Minor street name Date Intersection number Location Analysis year Output Summary Predicted crash frequency, crashes / year Combined CMF F+I PDO Total F+I PDO Total crashes 2.158 4.743 6.901 Total-vehicle crashes 1.300 1.300 Total-vehicle crashes 1.087 4.743 Vehicle-pedestrian crashes 5.603 Vehicle-pedestrian crashes 1.001 Vehicle-bicycle crashes 0.070 Severity distribution for F+I crashes K A B C 0.004 0.080 0.765 1.310 Input Data Value Advisory Messages Intersection Data Area type . Number of legs 4SG intersection type Traffic control type . Lighting present? . Red-light cameras present? . Daily pedestrian volume crossing all legs (peds/day) . Maximum number of lanes crossed by a pedestrian . Number of bus stops within 1,000 ft of intersection . School(s) present within 1,000 ft of intersection? . Alcohol sales establishments within 1,000 ft . Street Data Major Minor . Street configuration One-way Two-way 1x2 intersection configuration Annual average daily traffic (AADT), veh/day 24000 12000 . Number of through lanes 3 4 . Number of approaches with left-turn lanes 1 0 . Number of left-turn movements with protected phasing 0 0 . Number of right-turn movements prohibited on red 0 0 . Number of U-turn movements prohibited 0 0 . Number of approaches with right-turn channelization 1 0 . Calibration Factors Value Default Values Local calibration factor (C ) 1.000 1.000 Adjustment factor for pedestrians for stop control (f ped ) 0.020 0.020 Adjustment factor for bicyclists (f bike ) 0.012 0.012 Severity distribution calibration factor, 2-way (C sdf,twi ) 1.000 1.000 Severity distribution calibration factor, 1-way (C sdf,owi ) 1.000 1.000 Probability of fatality given K+A severity (P K |K+A ) 0.046 0.046 3ST, F+I 3ST, PDO 3SG, F+I 3SG, PDO 4ST, F+I 4ST, PDO 4SG, F+I 4SG, PDO Rear-end collision proportion 0.094 0.154 0.120 0.189 0.079 0.098 0.083 0.148 Angle colllision proportion 0.764 0.629 0.676 0.554 0.806 0.707 0.746 0.552 3ST, F+I 3ST, PDO 3SG, F+I 3SG, PDO 4ST, F+I 4ST, PDO 4SG, F+I 4SG, PDO Rear-end collision proportion 0.100 0.100 0.111 0.143 0.047 0.065 0.030 0.059 Angle colllision proportion 0.300 0.250 0.889 0.571 0.822 0.706 0.837 0.733 Crash Modification Factors F+I PDO Total-vehicle crash CMFs Lighting 0.911 0.911 Red-light cameras 1.000 1.000 Left-turn signal phasing 1.000 1.000 Right-turn-on-red 1.000 1.000 U-turn prohibition 1.000 1.000 Right-turn channelization 1.000 1.000 Number of lanes 1.428 1.428 Vehicle-pedestrian crash CMFs Bus stops 4.150 Schools 1.350 Alcohol sales establishments 1.000 1x2 or 1x1 intersections 2x2 intersections Manner of Collision Proportions 2 Yes 0 4 Urban Signalized Yes 4 3200 No 2016 1 Add to Totals worksheet Restore equations Reset input cells

426 Safety Prediction Worksheet for Urban and Suburban Arterial Intersections General Information Site Information Analyst Major street name Agency Minor street name Date Intersection number Location Analysis year Output Summary Predicted crash frequency, crashes / year Combined CMF F+I PDO Total F+I PDO Total crashes 1.271 2.132 3.403 Total-vehicle crashes 1.223 1.223 Total-vehicle crashes 0.659 2.132 Vehicle-pedestrian crashes 6.275 Vehicle-pedestrian crashes 0.579 Vehicle-bicycle crashes 0.033 Severity distribution for F+I crashes K A B C 0.002 0.046 0.206 1.018 Input Data Value Advisory Messages Intersection Data Area type . Number of legs 4SG intersection type Traffic control type . Lighting present? . Red-light cameras present? . Daily pedestrian volume crossing all legs (peds/day) . Maximum number of lanes crossed by a pedestrian . Number of bus stops within 1,000 ft of intersection . School(s) present within 1,000 ft of intersection? . Alcohol sales establishments within 1,000 ft . Street Data Major Minor . Street configuration One-way One-way 1x1 intersection configuration Annual average daily traffic (AADT), veh/day 22000 5000 . Number of through lanes 3 2 . Number of approaches with left-turn lanes 1 0 . Number of left-turn movements with protected phasing 0 0 . Number of right-turn movements prohibited on red 0 0 . Number of U-turn movements prohibited 0 0 . Number of approaches with right-turn channelization 0 1 . Calibration Factors Value Default Values Local calibration factor (C ) 1.000 1.000 Adjustment factor for pedestrians for stop control (f ped ) 0.020 0.020 Adjustment factor for bicyclists (f bike ) 0.012 0.012 Severity distribution calibration factor, 2-way (C sdf,twi ) 1.000 1.000 Severity distribution calibration factor, 1-way (C sdf,owi ) 1.000 1.000 Probability of fatality given K+A severity (P K |K+A ) 0.046 0.046 3ST, F+I 3ST, PDO 3SG, F+I 3SG, PDO 4ST, F+I 4ST, PDO 4SG, F+I 4SG, PDO Rear-end collision proportion 0.094 0.154 0.120 0.189 0.079 0.098 0.083 0.148 Angle colllision proportion 0.764 0.629 0.676 0.554 0.806 0.707 0.746 0.552 3ST, F+I 3ST, PDO 3SG, F+I 3SG, PDO 4ST, F+I 4ST, PDO 4SG, F+I 4SG, PDO Rear-end collision proportion 0.100 0.100 0.111 0.143 0.047 0.065 0.030 0.059 Angle colllision proportion 0.300 0.250 0.889 0.571 0.822 0.706 0.837 0.733 Crash Modification Factors F+I PDO Total-vehicle crash CMFs Lighting 1.000 1.000 Red-light cameras 1.000 1.000 Left-turn signal phasing 1.000 1.000 Right-turn-on-red 1.000 1.000 U-turn prohibition 1.000 1.000 Right-turn channelization 1.000 1.000 Number of lanes 1.223 1.223 Vehicle-pedestrian crash CMFs Bus stops 4.150 Schools 1.350 Alcohol sales establishments 1.120 1x2 or 1x1 intersections 2x2 intersections Manner of Collision Proportions 3 Yes 1 4 Urban Signalized No 4 1500 No 2016 2 Add to Totals worksheet Restore equations Reset input cells

427 Crash Totals Tabulation Empirical Bayes adjustment type: MV+SV: 32.888 VP+VB: 2.533 F+I: 11.988 PDO: 23.434 Total: 35.421 Facility Totals None Clear tables Sort rows Calculate Veh-ped Veh-bike F+I PDO F+I PDO F+I PDO F+I F+I 6.799 15.318 0.910 1.241 7.709 16.559 0.582 0.267 1.746 6.875 1.581 0.103 6.799 15.318 0.910 1.241 9.454 23.434 2.163 0.370 Total Predicted Crash Frequency, crashes / year Intersections: Segments: Single-vehicleMultiple-vehicle Total: Site type Total-vehicle Number Year Type Street number F+I PDO F+I PDO 1 2016 3O 2.505 5.517 0.319 0.435 2 2016 3O 1.232 2.768 0.159 0.217 3 2016 3O 3.062 7.033 0.432 0.589 Vehicle-pedestrian Vehicle-bicycle Predicted crash frequency, crashes / year Single-vehicleMultiple-vehicle 0.267 0.105 0.211 Segment Site Information F+I F+I 0.122 0.048 0.097 Number Year Type Configuration 1 2016 4SG One-way 2 2016 4SG One-way 0.659 1.087 F+I 2.132 4.743 PDO Vehicle-bicycleTotal-vehicle Intersection Site Information Predicted crash frequency, crashes / year Vehicle-pedestrian F+I F+I 0.033 0.070 0.579 1.001

Safety Prediction Models for Six-Lane and One-Way Urban and Suburban Arterials Get This Book
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 Safety Prediction Models for Six-Lane and One-Way Urban and Suburban Arterials
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The Highway Safety Manual (HSM) provides a predictive method for two- and four-lane urban and suburban arterial facilities with both undivided and divided cross-sections. The manual does not cover arterials with six or more lanes or one-way streets.

The TRB National Cooperative Highway Research Program's NCHRP Web-Only Document 318: Safety Prediction Models for Six-Lane and One-Way Urban and Suburban Arterials documents a safety prediction method for six-or-more-lane and one-way urban and suburban arterials, as well as intersections located on these facilities, that is suitable for incorporation in the HSM.

Supplemental to the document are a User Manual and a Prediction Model Spreadsheet.

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