Locating and Costing Congestion for School Buses and Public Transportation (Phase 2)
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2023-09-25
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By Monast, Kai
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Edition:Final Report 5/1/2021 to 11/8/2022
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Abstract:The research team integrated three large datasets to create a practitioner tool to allow transportation planners and engineers to model the relationship between traffic flow and congestion data (via RITIS) with public transportation (GTFS) and school travel data (Edulog). The tool allowed for the spatial identification of congestion impacts affecting public transportation and school buses, along with estimates of the costs incurred by these modes resulting from congestion. By combining these three datasets, the research team determined when and where publicly funded transportation vehicles are operating and estimated the delay experienced by each vehicle. Bottlenecks, slow segments, and clogged times were identified, which could be used to develop solutions to spatially or temporally avoid congestion delays. Delay costs were then calculated to allow planning agencies, municipalities, and other entities to quantify the problem when evaluating solutions.
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