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NCHRP Web-Only Document 301: Development of Guidelines for Quantifying Benefits of Traffic Incident Management Strategies Vaishali Shah Greg Hatcher Elizabeth Greer Janet Fraser Noblis, Inc. Reston, Virginia Mark Franz Kaveh Sadabadi Center for Advanced Transportation Technology at the University of Maryland College Park, Maryland Conduct of Research Report for NCHRP Project 03-108 Submitted January 2017 NATIONAL COOPERATIVE HIGHWAY RESEARCH PROGRAM Systematic, well-designed, and implementable research is the most effective way to solve many problems facing state departments of transportation (DOTs) administrators and engineers. Often, highway problems are of local or regional interest and can best be studied by state DOTs individually or in cooperation with their state universities and others. However, the accelerating growth of highway transportation results in increasingly complex problems of wide interest to highway authorities. These problems are best studied through a coordinated program of cooperative research. Recognizing this need, the leadership of the American Association of State Highway and Transportation Officials (AASHTO) in 1962 initiated an objective national highway research program using modern scientific techniquesâthe National Cooperative Highway Research Program (NCHRP). NCHRP is supported on a continuing basis by funds from participating member states of AASHTO and receives the full cooperation and support of the Federal Highway Administration (FHWA), United States Department of Transportation, under Agreement No. 693JJ31950003. COPYRIGHT INFORMATION Authors herein are responsible for the authenticity of their materials and for obtaining written permissions from publishers or persons who own the copyright to any previously published or copyrighted material used herein. Cooperative Research Programs (CRP) grants permission to reproduce material in this publication for classroom and not-for-profit purposes. Permission is given with the understanding that none of the material will be used to imply TRB, AASHTO, FAA, FHWA, FTA, GHSA, NHTSA, or TDC endorsement of a particular product, method, or practice. It is expected that those reproducing the material in this document for educational and not-for-profit uses will give appropriate acknowledgment of the source of any reprinted or reproduced material. For other uses of the material, request permission from CRP. DISCLAIMER The opinions and conclusions expressed or implied in this report are those of the researchers who performed the research. They are not necessarily those of the Transportation Research Board; the National Academies of Sciences, Engineering, and Medicine; the FHWA; or the program sponsors. The information contained in this document was taken directly from the submission of the author(s). This material has not been edited by TRB.
The National Academy of Sciences was established in 1863 by an Act of Congress, signed by President Lincoln, as a private, non- governmental institution to advise the nation on issues related to science and technology. Members are elected by their peers for outstanding contributions to research. Dr. Marcia McNutt is president. The National Academy of Engineering was established in 1964 under the charter of the National Academy of Sciences to bring the practices of engineering to advising the nation. Members are elected by their peers for extraordinary contributions to engineering. Dr. John L. Anderson is president. The National Academy of Medicine (formerly the Institute of Medicine) was established in 1970 under the charter of the National Academy of Sciences to advise the nation on medical and health issues. Members are elected by their peers for distinguished contributions to medicine and health. Dr. Victor J. Dzau is president. The three Academies work together as the National Academies of Sciences, Engineering, and Medicine to provide independent, objective analysis and advice to the nation and conduct other activities to solve complex problems and inform public policy decisions. The National Academies also encourage education and research, recognize outstanding contributions to knowledge, and increase public understanding in matters of science, engineering, and medicine. Learn more about the National Academies of Sciences, Engineering, and Medicine at www.nationalacademies.org. The Transportation Research Board is one of seven major programs of the National Academies of Sciences, Engineering, and Medicine. The mission of the Transportation Research Board is to provide leadership in transportation improvements and innovation through trusted, timely, impartial, and evidence-based information exchange, research, and advice regarding all modes of transportation. The Boardâs varied activities annually engage about 8,000 engineers, scientists, and other transportation researchers and practitioners from the public and private sectors and academia, all of whom contribute their expertise in the public interest. The program is supported by state transportation departments, federal agencies including the component administrations of the U.S. Department of Transportation, and other organizations and individuals interested in the development of transportation. Learn more about the Transportation Research Board at www.TRB.org.
CÂ OÂ OÂ PÂ EÂ RÂ AÂ TÂ IÂ VÂ EÂ RÂ EÂ SÂ EÂ AÂ RÂ CÂ HÂ PÂ RÂ OÂ GÂ RÂ AÂ MÂ SÂ CRP STAFF FOR NCHRP WEB-ONLY DOCUMENT 301 Christopher J. Hedges, Director, Cooperative Research Programs Lori L. Sundstrom, Deputy Director, Cooperative Research Programs Waseem Dekelbab, Associate Program Manager, National Cooperative Highway Research Program David M. Jared, Senior Program Officer Clara Schmetter, Senior Program Assistant Natalie Barnes, Director of Publications Heather DiAngelis, Associate Director of Publications Scott E. Hitchcock, Senior Editor Kathleen Mion, Senior Editorial Assistant NCHRP PROJECT 03-108 PANEL Field of TrafficâArea of Operations and Control Lisa Vieth, Missouri Department of Transportation, Jefferson City, MO (Chair) Yupo Chan, University of Arkansas, Little Rock, Little Rock, AR Steven Cyra, HNTB Corporation, Milwaukee, WI Sreenath Reddy Gangula, Washington State Department of Transportation, Olympia, WA Ismael Garza, Nevada Department of Transportation, Carson City, NV David Graham, Gannett Fleming, Inc., Raleigh, NC Sean M. Hill, Delaware River Joint Toll Bridge Commission, New Hope, PA Timothy R. Huibregtse, Wisconsin Department of Transportation, Milwaukee, WI Jennifer L. Portanova, North Carolina Department of Transportation, Raleigh, NC Jawad N. Paracha, FHWA Liaison Richard A. Cunard, TRB Liaison Author Acknowledgments The research reported herein was performed under NCHRP Project 03-108 by Noblis, Inc., the Center for Advanced Transportation Technology at the University of Maryland, and HEi, Inc. Vaishali Shah at Noblis served as the Principal Investigator and Greg Hatcher served as Project Manager. The other authors of this report are Elizabeth Greer and Dr. Janet Fraser, Transportation Systems staff at Noblis, and Mark Franz and Kaveh Sadabadi, research assistants at the Center for Advanced Transportation Technology and doctoral candidates at the University of Maryland.
iv CONTENTS Summary ......................................................................................................................................... 1Â Introduction and Background ................................................................................ 5Â Review of TIM Definitions, Strategies, and Evaluation Methods ........................ 6Â Stakeholder Engagement ..................................................................................... 58Â Estimating Available Capacity Reduction from Incidents .................................. 81Â Evaluation of Methods for Quantifying Benefits of TIM Programs ................... 98Â Monetization of Benefits ................................................................................... 129Â Common TIM Rules of Thumb Assessment ..................................................... 137Â Summary of Findings and Next Steps ............................................................... 141Â References ................................................................................................................................... 146Â Abbreviations, Acronyms, Initialisms, and Symbols .................................................................. 156Â Note: The guidelines document associated with this conduct of research report has been published as NCHRP Research Report 981: Guidelines for Quantifying Benefits of Traffic Incident Management Strategies and can be found on the TRB website (http://www.trb.org/) by searching for âNCHRP Research Report 981.â
v LIST OF FIGURES AND TABLES Table of Figures Figure 1: TIM Framework .............................................................................................................. 7Â Figure 2: Timeline of an Incident (TIM Handbook) ..................................................................... 16Â Figure 3: Sample Distribution of Sources for Incident Detection (Chang and Raqib, 2013) ....... 23Â Figure 4: Site Decision Support Tool Flow Chart (Khattak and Rouphail, 2004) ....................... 33Â Figure 5: Impact Boundary for Identification of Secondary Incidents ......................................... 36Â Figure 6: Three Stage Time Savings Analysis for TIM (Chou, 2010) ......................................... 37Â Figure 7: HELP Methodological Flow Chart (Haghani et. al. 2006)........................................... 39Â Figure 8: Queue (Left) and Modified Queue (Right) Diagrams (Moss, 2012) ............................. 42Â Figure 9: Incident Progression Curves (Ryan et al., 2009) ........................................................... 45Â Figure 10: TRIP Coverage Map 2011 (Source: GDOT's Evaluation of the TRIP, 2011) ............ 66Â Figure 11: ITD Safety Service Patrol Coverage ........................................................................... 70Â Figure 12: SOC and TOC Locations (Chang and Raqib, 2012) ................................................... 71Â Figure 13: Sample Incident Response Performance Measures (Source; WSDOT Gray Note Book December 2013) ............................................................................................................................ 77Â Figure 14: Experimental Methodology ......................................................................................... 86Â Figure 15: Schematic of Traffic Flow during an Incident (Cambridge Systematics, 1990) ......... 87Â Figure 16: Graphical Representation of 109 Incidentsâ Available Capacity Ratio by Incident Duration ........................................................................................................................................ 93Â Figure 17: Shoulder Incident by Type and Facility Lanes ............................................................ 94Â Figure 18: Incidents on Left and Right Shoulder .......................................................................... 95Â Figure 19: Summary of Methods Applied for Estimating TIM Outcomes ................................... 99Â Figures 20 and 21: Incident Progression Curve for Property Damage Only Crashes v. Injury and Fatal Crashes ............................................................................................................................... 103Â Figure 22. Time and Space Boundaries through Corner Point Identification (Chou, 2010) ...... 104Â Figure 23. I-405 Seattle Segmentation ........................................................................................ 111Â Figure 24. US-75 North Texas Segmentation ............................................................................. 111Â Figure 25: I-495 Maryland Segmentation ................................................................................... 112Â Figure 26. Search Area Boundaries for Auto Mapping Incidents to Segments in Maryland Corridor ....................................................................................................................................... 114Â Figure 27. Structure of the Incident to Historical Volume Matching Tool ................................ 114Â Figure 28. Overall TIM Program Benefit Analysis Flowchart ................................................... 127Â Table of Tables Table 1: Summary of Available Capacity Ratio Estimates from Incidents in Maryland, Virginia, and Texas ........................................................................................................................................ 3Â Table 2: Incident Definitions ........................................................................................................ 17Â
vi Table 3: Examples of Incident Type Defined from State TIM Programs ..................................... 19Â Table 4: Definition of Secondary Incidents .................................................................................. 21Â Table 5: Hoosier Helper Evaluation Methods and Outcomes ...................................................... 29Â Table 6: Georgia NaviGAtor System Evaluation Methods and Outcomes .................................. 30Â Table 7: Rutgers Incident Management System Methods and Outcomes .................................... 32Â Table 8: Incident Management Assistance Patrols Decision-Support Tool for Service Expansion ....................................................................................................................................................... 33Â Table 9: Regional Emergency Action Coordination Team (REACT) Evaluation ....................... 34Â Table 10: Impact of Incidents and Incident Management Programs on Freeway Mobility and Safety ............................................................................................................................................ 35Â Table 11: Methodology for Quantifying the Cost Effectiveness of Freeway Service Patrol Programs: A Case Study ............................................................................................................... 38Â Table 12: Assessing Return on Investment of Freeway Safety Service Patrol Programs ............ 40Â Table 13: A Benefit Cost Model for Traffic Incident Management, Knoxville, TN .................... 41Â Table 14: Benefit Cost Analysis of Accelerated Incident Clearance in South Carolina .............. 43Â Table 15: Evaluated Incident Clearance Strategies in Chowdhury et al. (2007) .......................... 44Â Table 16: Evaluation of Arterial Service Patrol Programs (I-64 Traffic Response) ..................... 45Â Table 17: Evaluation of Freeway Motorist Assist Program in St. Louis, MO .............................. 46Â Table 18: Evaluation of Freeway Motorist Assist Program in Florida ......................................... 47Â Table 19: FIRST Program Evaluation in Minnesota .................................................................... 48Â Table 20: FIRST Benefits and Costs in 2003 Dollars (Mn/DOT, 2004) ...................................... 49Â Table 21: Maryland CHART Program Annual Performance Evaluation ..................................... 49Â Table 22: Results of Service Patrol Benefit-Cost Studies (Lin, 2012) ......................................... 51Â Table 23: Relative Disutility Factors by Injury Severity Level (AIS) and Monetized Value of Injuries .......................................................................................................................................... 53Â Table 24: Average Monetary Values for Different Types of Vehicle Crashes ............................. 53Â Table 25: Recommended Hourly Values of Travel Time Savings (2009 $ per Person-Hour) ..... 54Â Table 26: Recommended Hourly Values of Travel Time Savings (2009 $ per Person-Hour) ..... 54Â Table 27: Passenger Value of Time from Previous TIM Studies ................................................. 54Â Table 28: Average Vehicle Occupancy by Trip Purpose (Person-Miles per Vehicle-Mile) ........ 55Â Table 29: Values for Avoided Air Emissions (Year 2010) ........................................................... 55Â Table 30: Proportion of Freeway Segment Capacity Available under Incident Conditions. (Transportation Research Board, 2010) ........................................................................................ 82Â Table 31: Typical Capacity Reductions for a Three Lane Freeway (Texas Transportation Institute, 1999) .............................................................................................................................. 83Â Table 32: Statistics on Available Capacity for Different Incident Types (Knoop et al., 2009) .... 84Â Table 33: Comparison of Incident Capacity at Different Sites (Lu and Elefteriadou, 2013) ....... 84Â Table 34: Comparison of Percent Freeway Capacity Available under Incident Conditions from Different Studies ........................................................................................................................... 85Â Table 35: Summary of Archival Incident and Traffic Data Accessed and Used in this Study ..... 90Â
vii Table 36: Frequency of Incident Types ........................................................................................ 90Â Table 37: Number of Analyzed Cases in Various Jurisdictions and Incident-Induced Lane Closure Scenarios.......................................................................................................................... 91Â Table 38: Available Capacity Ratio (ACR) Under Incident Conditions across Jurisdictions and HCM ACR .................................................................................................................................... 92Â Table 39: Estimated Proportion of Freeway Segment Capacity Available under Incident Conditions ..................................................................................................................................... 94Â Table 40: Strengths and Limitations of Methods Applied for Delay Reduction ........................ 100Â Table 41: Data Needs and Assumptions for Methods ................................................................ 100Â Table 42. Sample from Khattak and Rouphail (2004) Delay Model. ......................................... 101Â Table 43: Strengths and Limitations of Secondary Crash Methods ........................................... 102Â Table 44: Data Needs for Estimating Secondary Crashes .......................................................... 102Â Table 45. Corner Point Regression Model (Chou, 2010) ........................................................... 105Â Table 46: Emission Rates (Chang and Igbinosun, 2013) ............................................................ 106Â Table 47: Data Availability ......................................................................................................... 107Â Table 48: Maryland Lane Closure-Duration Summary ............................................................. 109Â Table 49: Delay Reduction Estimates for Seattle Corridor with Varying Levels of Volume Aggregation................................................................................................................................. 113Â Table 50: Delay Savings Results ................................................................................................ 116Â Table 51: Seattle, WA Lane Closure Profile .............................................................................. 116Â Table 52: Seattle, WA Incident Duration Profile ........................................................................ 117Â Table 53. North Texas Lane Closure Profile .............................................................................. 117Â Table 54. North Texas Incident Duration Profile ....................................................................... 118Â Table 55: Maryland Lane Closure Profile .................................................................................. 118Â Table 56: Maryland Incident Duration Profile ............................................................................ 119Â Table 57: Estimated Secondary Crash Reduction in the Study Datasets .................................... 120Â Table 58: Emissions Savings Results for the Study Datasets ..................................................... 121Â Table 59: Fuel Consumption Savings for All Datasets (in gallons) ........................................... 121Â Table 60. Application of Hybrid Delay Estimation Methods to the Seattle Data ....................... 122Â Table 61: Inputs for Monetization of Delay Savings .................................................................. 129Â Table 62: Monetization of Delay Savings for I-405 ................................................................... 130Â Table 63: Monetization of Delay Savings for U.S. Route 75 ..................................................... 130Â Table 64: Monetization of Delay Savings for I-495 ................................................................... 130Â Table 65: Composite Value for Crashes ..................................................................................... 131Â Table 66: Monetization of Secondary Incident Reduction on I-405........................................... 131Â Table 67: Monetization of Secondary Incident Reduction on U.S. Route 75............................. 131Â Table 68: Monetization of Secondary Incident Reduction on I-495........................................... 131Â Table 69: Emissions Values for Monetization ............................................................................ 132Â Table 70: Monetization of Emissions Reduction Savings on I-405 Based on Delay Savings ... 132Â Table 71: Emissions Reduction on I-405 Based on Service Patrol Interactions ......................... 132Â
viii Table 72: Emissions Reduction on U.S. Route 75 Based on Delay Savings .............................. 132Â Table 73: Emissions Reduction on U.S. Route 75 Based on Service Patrol Interactions ........... 133Â Table 74: Monetization of Emissions Reduction Savings on I-495 Based on Delay Savings ... 133Â Table 75: Monetization of Emissions Reduction Savings on I-495 Based on Service Patrol Interactions .................................................................................................................................. 133Â Table 76: Average Fuel Values for Datasets .............................................................................. 133Â Table 77: Monetization of Fuel Consumption Savings .............................................................. 134Â Table 78: ACR Estimates from Incidents in Maryland, Virginia, and Texas ............................. 142Â