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From page 21... ... 21 The following use cases were collected from in-person and phone interviews of state DOTs and their partners who responded to the survey. Nineteen use cases were documented. Read the entire page →
From page 22... ... 22 Use of Vehicle Probe and Cellular GPS Data by State Departments of Transportation Main Use Secondary Use Title Agency Page # Performance Management and Safety Conducting Incident After Action Reviews Metropolitan Area Transportation Operations Coordination (MATOC) 34 Incident Notification and Bridge Closure Mitigation Pennsylvania DOT 39 Supporting Operational Decisions Using Probe Data Massachusetts DOT 41 Operations Traffic Operations Assessment Systems Tool (TOAST) Read the entire page →
From page 23... ... Case Examples 23 Data Source Description The following data sets were used by MATOC to perform this AAR: 1. Third-party probe-based speed data. Read the entire page →
From page 24... ... Figure 7. Example of an incident timeline from a June 2018 major incident on the Woodrow Wilson Bridge at the borders of the District of Columbia, Maryland, and Virginia. Read the entire page →
From page 25... ... Case Examples 25 Figure 8. Animated congestion maps allow MATOC to understand roadway performance on the day of the incident compared to typical traffic (Source: MATOC) Read the entire page →
From page 26... ... 26 Use of Vehicle Probe and Cellular GPS Data by State Departments of Transportation Results and Outputs The outputs of the MATOC AARs include slide decks, recorded presentations, and brochures like the one seen in Figure 11, which is a four-page brochure that summarizes the incident, the effects on traffic, and recommendations. The AARs produced by MATOC are frequently requested by public officials and DOT executives. Read the entire page →
From page 27... ... Case Examples 27 Fractured steel truss under bridge Figure 12. Location of the fractured steel truss under the Delaware River Bridge in Pennsylvania (Source: Pennsylvania Turnpike Commission) Read the entire page →
From page 28... ... 28 Use of Vehicle Probe and Cellular GPS Data by State Departments of Transportation consultants. Dashboard data were also saved for the period between January 23 and February 6, 2017, for the duration of the closure. Read the entire page →
From page 29... ... Case Examples 29 that were then monitoring using the same travel time dashboard. RTMC operators were able to identify incidents by observing sudden spikes in travel times. Read the entire page →
From page 30... ... 30 Use of Vehicle Probe and Cellular GPS Data by State Departments of Transportation Figure 15. Average peak travel times on I-93 northbound compared between equivalent days in 2018, 2019, and 2020 (Source: MassDOT) Read the entire page →
From page 31... ... Case Examples 31 Traffic Operations Assessment Systems Tool: TOAST (Ohio DOT) Overview The Ohio Department of Transportation (ODOT) Read the entire page →
From page 32... ... Min Max 0 15,000 10 15,000 18,500 9 18,500 22,500 8 22,500 30,000 7 30,000 35,500 6 35,500 50,000 5 50,000 65,000 4 65,000 86,500 3 86,500 122,000 2 122,000 170,000 1 170,000 0 0% 66% 0 66% 72% 1 72% 76% 2 76% 80% 3 80% 82% 4 82% 85% 5 85% 88% 6 88% 91% 7 91% 94% 8 94% 98% 9 98% 100% 10 0 0 10 0 0.6 9 0.6 1 8 1 2.0 7 2.0 3.5 6 3.5 6 5 6 9.0 4 9.0 17.0 3 17.0 34 2 34 85 1 85 0 0 2,200 10 2,200 2,700 9 2,700 3,300 8 3,300 3,900 7 3,900 4,400 6 4,400 5,400 5 5,400 6,600 4 6,600 9,700 3 9,700 15,300 2 15,300 30,500 1 30,500 0 0% 3% 10 3% 6% 9 6% 8% 8 8% 10% 7 10% 12% 6 12% 14% 5 14% 16% 4 16% 18% 3 18% 20% 2 20% 22% 1 22% 0 0 45 10 45 50 9 50 60 8 60 65 7 65 75 6 75 80 5 80 85 4 85 90 3 90 100 2 100 115 1 115 0 0% 5% 10 5% 6% 9 6% 7% 8 7% 8% 7 8% 9% 6 9% 11% 5 11% 13% 4 13% 15% 3 15% 17% 2 17% 23% 1 23% 0 100% 10 100 20 Multiplier Max Score 25.0% Bottlenecks SUM of Top 5 Impact Factors Impact Factor = Avg duration (minutes) x Avg max length x Number occurrences 0-170,000+ 2.5 25 Weighting % Criteria Calculated by Value Range Range Normalized Value 20.0% Travel Time Performance Score (%) Read the entire page →
From page 33... ... Case Examples 33 functional class, urban/rural classifications, and intersection/interchange center points. This finer granularity and classification system helps to prevent operational performance from becoming washed out in the data and key problem areas being overlooked. Read the entire page →
From page 34... ... 34 Use of Vehicle Probe and Cellular GPS Data by State Departments of Transportation Figure 18. PDF maps of segment performance are provided to each district (Source: ODOT) Read the entire page →
From page 35... ... Case Examples 35 Winter Weather Maintenance Performance Management (Ohio DOT) Overview ODOT was challenged with enabling travelers to continue to utilize roadways even after major winter weather storms. Read the entire page →
From page 36... ... 36 Use of Vehicle Probe and Cellular GPS Data by State Departments of Transportation ODOT also collects roadway conditions via Road Weather Information Systems (RWIS) data to identify when a storm begins or ends. Read the entire page →
From page 37... ... Case Examples 37 Project Assessment and Before-and-After Studies (NJDOT) Overview The New Jersey Department of Transportation (NJDOT) Read the entire page →
From page 38... ... 38 Use of Vehicle Probe and Cellular GPS Data by State Departments of Transportation completion, evaluating Vehicle Hours of Delay, Travel Times, Reliability, Speed Breakdowns (the percentage of time speeds was above or below various thresholds) Read the entire page →
From page 39... ... Case Examples 39 Quantifying the Causes of Congestion (U.S. Read the entire page →
From page 40... ... 40 Use of Vehicle Probe and Cellular GPS Data by State Departments of Transportation Data Item Data Source Data Size Congestion/Disruption 1-minute probe data 370K Highway segments with data for each minute Recurrent Congestion 1-minute probe data Incidents Waze 78M Waze Incident events Weather NOAA radar and Waze 5.6M Waze weather events and 2-minute radar readings for each 370K highway segment Work Zones Waze 8M Waze work zones Holiday Travel Holiday Calendar (including travel days before/after holiday) 46 holiday travel days Signals OSM Traffic Signal Database 332K traffic signals(each intersection approach was associated with a signal) Read the entire page →
From page 41... ... Case Examples 41 Results and Output The study team is still computing data for the entire country. The team expects to complete the computation in August 2021. Read the entire page →
From page 42... ... 42 Use of Vehicle Probe and Cellular GPS Data by State Departments of Transportation Evaluating Effects of Pavement Restriping Projects (MassDOT) Overview Many agencies struggle with the problem of recurring congestion in large metropolitan areas due to a lack of sufficient capacity to handle the demand, especially in peak hours. Read the entire page →
From page 43... ... Case Examples 43 drivers to remain in their lanes and not get stuck in the left lane needing to make last-minute lane changes. Prioritizing certain lane movements resulted in smoother flow of traffic. Read the entire page →
From page 44... ... 44 Use of Vehicle Probe and Cellular GPS Data by State Departments of Transportation Project Selection (Virginia DOT) Overview The Virginia Department of Transportation (VDOT) Read the entire page →
From page 45... ... Case Examples 45 The following data support the process for congestion metrics: • Vehicle miles traveled (VMT) from VDOT's Traffic Monitoring System. Read the entire page →
From page 46... ... 46 Use of Vehicle Probe and Cellular GPS Data by State Departments of Transportation A description of the method used for the Richmond Construction District for 2019 can be found at https://vtrans.org/resources/Methodology_VTrans_Midterm_Report_Richmond.pdf. Results and Outputs Using the SMART SCALE data-driven process, the Commonwealth has been successful in making the process transparent and clear for project sponsors and the public. Read the entire page →
From page 47... ... Case Examples 47 more time to increase the quality of the presentation of the materials and free up time to identify and assess strategies to address congestion and mobility issues in the region. RRTPO publishes updated CMP analysis via ESRI's Story-map Product, as shown in the example in Figure 29. Read the entire page →
From page 48... ... 48 Use of Vehicle Probe and Cellular GPS Data by State Departments of Transportation the bulk of the roads in the state and are also used for other transportation operations purposes, including traveler information and situational awareness. Tools and Analysis Description Using in-house staff, GDOT looked at travel patterns during prior year's Thanksgivings and analyzed the travel statistics for different parts of Atlanta along with the region as a whole. Read the entire page →
From page 49... ... Case Examples 49 Figure 31. Region-specific travel forecasts for the 2019 Thanksgiving Holiday week (Source: GDOT) Read the entire page →
From page 50... ... 50 Use of Vehicle Probe and Cellular GPS Data by State Departments of Transportation Figure 32. Example of a more stylized single-region travel forecast (Source: GDOT) Read the entire page →
From page 51... ... Case Examples 51 Figure 33. Examples of Lower Effective Barrier Heights (Source: Kirk Zeringue, LTRC) Read the entire page →
From page 52... ... 52 Use of Vehicle Probe and Cellular GPS Data by State Departments of Transportation Figure 35. Strava heat map for Historic Triangle (Source: https://www.strava.com/heatmap#14.00/ -76.26597/36.86823/hot/all) Read the entire page →
From page 53... ... Case Examples 53 Figure 36. Home states of Virginia Capital Trail users (Source: HRTPO analysis of StreetLight data, 2017) Read the entire page →
From page 54... ... 54 Use of Vehicle Probe and Cellular GPS Data by State Departments of Transportation In addition to state-level statistics, HRTPO was able to extract additional information about non-local users from Virginia. The next phase of this study will use the findings from the first phase and perform additional surveys of dollars spent by visitors using the Virginia Capital Trail to evaluate the economic impact to the region. Read the entire page →
From page 55... ... Case Examples 55 Wonderland Garage Location Lynnway between Commercial St. and General Edwards Bridge Figure 38. Read the entire page →
From page 56... ... 56 Use of Vehicle Probe and Cellular GPS Data by State Departments of Transportation Wonderland Garage Location North Shore Rd. at Point of Pines Figure 39. Read the entire page →
From page 57... ... Case Examples 57 Data Source Description HRTPO used two separate sources of data. They first used American Trucking Research Institute GPS data that are based on 1-minute GPS pings from participating companies' fleets. Read the entire page →
From page 58... ... 58 Use of Vehicle Probe and Cellular GPS Data by State Departments of Transportation Tools and Analysis Description HRTPO analyzed StreetLight data using StreetLight's web-based analytical tool InSight. HRTPO benefited from VDOT's existing contract with StreetLight that made the data and tool available to HRTPO staff to perform analysis in-house. Read the entire page →
From page 59... ... Case Examples 59 Freight Generator Facility Analysis (Rhode Island DOA) Overview The Rhode Island Department of Administration (DOA) Read the entire page →
From page 60... ... 60 Use of Vehicle Probe and Cellular GPS Data by State Departments of Transportation After generating the initial heat maps, DOA staff then conducted further drill-down analysis to analyze top truck-freight origin community maps, and pinpoint other top freight locations at a more granular level. Results and Outputs After DOA staff overlaid business location data onto their heat maps, they were able to quickly correlate freight generators with specific business names and types. Read the entire page →
From page 61... ... Case Examples 61 2. Balance demand on arterials, 3. Read the entire page →
From page 62... ... 62 Use of Vehicle Probe and Cellular GPS Data by State Departments of Transportation Intersection Performance Analysis: Percent Arrivals on Green and Turning Movements (Austin, TX) Overview Automated Traffic Signal Performance Measures (ATSPM) Read the entire page →
From page 63... ... Case Examples 63 without the need to deploy any roadside infrastructure or communications equipment. The goal of their deployment is to achieve ATSPM-like capabilities, but at a substantially reduced cost that is also significantly more scalable. Read the entire page →
From page 64... ... 64 Use of Vehicle Probe and Cellular GPS Data by State Departments of Transportation Figure 47. The user selects a series of signals (pink dots) Read the entire page →
From page 65... ... Case Examples 65 Figure 48. The results are displayed as a table of metrics (top) Read the entire page →
From page 66... ... 66 Use of Vehicle Probe and Cellular GPS Data by State Departments of Transportation • 101–250 miles is a moderate 1-day drive or a good range for rail; some flying trips. • 251–500 miles is a long 1-day drive or rail trip; flying more likely. Read the entire page →
From page 67... ... Case Examples 67 These data are provided to the U.S. DOT via CSV and Excel files. Read the entire page →
From page 68... ... Table 9. Travel increases measured the day after Georgia's partial reopening on April 24, 2020 (Source: data.covid.umd.edu) Read the entire page →
From page 69... ... Case Examples 69 Figure 52. Derived social distancing index by state and time (Source: https://data.covid.umd.edu/ findings/index.html) Read the entire page →

From page 21...

... 21 The following use cases were collected from in-person and phone interviews of state DOTs and their partners who responded to the survey. Nineteen use cases were documented.