The unexpected closure of an interstate is a massive undertaking involving a variety of stakeholders. Such was the case in August 2015, when pier settlement of the Wildcat Creek Bridge on 1-65 N in Indiana, USA required an unplanned closure of a 37-mile stretch of the interstate for approximately 31 days. The detour route had little existing intelligent transportation systems infrastructure to assist engineers with managing operations. To fill this information need, real-time crowdsourced probe vehicle data were used to create real-time dashboards hosted on a Web site for use by Indiana Department of Transportation engineers and public safety officials to monitor mobility and queueing on the 62-mile detour route. This paper describes how the real-time dashboards were used to proactively identify congestion problems, as well as measure the impact of mitigation measures. In addition to using the real-time data during the detour operation, the data archive has been extremely valuable for post-detour after-action reviews to help improve future response efforts.
Using Real-Time Probe Vehicle Data to Manage Unplanned Detour Routes
ITE journal ; 85 , 12
2015
Aufsatz (Zeitschrift)
Englisch
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