United States Department of Transportation
i
Freight Flows and Incident Management
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2019-10-01
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[PDF-4.79 MB]
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Edition:Final Report: September 2016 - September 2019
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Abstract:This study models and simulates vehicle behaviors based on large-scale traffic-incident congestion and the availability of Advanced Traveler Information Systems (ATIS). The study examines how well detours can help truck and passenger vehicle drivers avoid unexpected congestion and associated delay costs. En-route diversions could also decrease secondary incidents and speed up traffic incident management processes. This study reviewed candidate incident management strategies from the USDOT and various states, including communication protocols and en-route diversion assistance. The study found, analyzed, and verified easily accessible ATIS data sources and used the data to develop a freight en-route diversion analysis approach. To verify the accuracy of driver behavior in this study, researchers conducted a small survey of truck driver diversion behavior. A synthesis of this survey and surveys conducted by previous studies revealed that truck drivers are interested in improving safety through en-route diversion. Truck drivers value familiarity, incident information, and notification through smart or cell phone when making en-route diversion decisions. Besides accurately depicting diversions and outcomes under the status quo, the underlying simulation model accounts for behaviors and outcomes under improved conditions linked to infrastructure betterments, improved information delivery, or automation. Through these simulations, the study found that increased traffic information penetration and connected and automated technology can increase speeds and decrease overall travel delay and costs. This research indicates that ATIS and other emerging technologies could result in fewer delays and secondary incidents.
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