United States Department of Transportation
i
Quantify Freeway Safety Service Patrol and Protect the Queue Impact on Transportation Network Reliability
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2022-05-30
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[PDF-4.41 MB]
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Edition:Final Report December 2018 to May 2022
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Abstract:The objective of this project is to evaluate and quantify the impacts and benefits of Freeway Safety Service Patrol (FSSP) and Protect the Queue (PTQ) programs using data-driven analysis. TDOT’s Locate/IM and PTQ daily working reports data are the primary source of this study, which will help better understand the characteristics of incidents. WAZE’s crowd-sourced incident report logs will be also heavily used in this project for the purpose of affording TDOT the flexibility of analyzing incidents outside the coverage areas by Locate/IM. The study reviewed the state-of-the-practice of traffic incident management (TIM) programs’ impact evaluation methodologies and end-of-queue crash risk probability estimation methods, evaluated the benefits of HELP program in three different aggregation levels and assessed the benefits of PTQ based on a risk probability model. The study also developed an automated workflow for generating benefit cost analysis for HELP and PTQ programs and provided an Excel-based automation tool for easy implementation. All reports and deliverables are ready to use with TDOT data. The procedures assess benefits resultant from savings in travel delay, emission, fuel consumption, and secondary crash for a wide range of programs. Results from this study will be readily implementable for the entire State, any region, or even individual counties. The deliverables of this project provide factual statistics backed by sound analysis to assist TDOT’S decision making process. The B/C reports for HELP program, for PTQ program, and for a new rural HELP program helps TDOT make important investment decisions to best serve the motoring public. The automated B/C reports for HELP program fulfills the recurring comprehensive performance monitoring objective. Furthermore, the incorporation of crowdsourced WAZE data into TDOT’s exiting traffic incident management data framework leads to better understanding of incident characteristics and more efficient incident management.
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