Connected Vehicle Vehicle-to-Infrastructure Support of Active Traffic Management

US Transportation Collection2019PDFTech ReportHadi, MohammedIqbal, Md ShahadatWang, TaoXiao, YanArafat, MahmoudAfreen, SohanaFlorida International University. Lehman Center for Transportation ResearchFlorida. Dept. of Transportation. Office of Research and DevelopmentFlorida International University. Lehman Center for Transportation ResearchUnited StatesAdvanced traffic management systemsArterial highwaysBenefit cost analysisConnected vehiclesHighway safetyImpactsITS program applicationsMobilityMultiple criteria decision makingTraffic simulationConnected VehicleVehicle-to-Infrastructure SupportActive Traffic ManagementReturn-on-investmentBenefit-Cost AnalysisDecision Support ToolsBDV29-977-41Rodriguez, Javier; Ponnaluri, RajFinal Report, February 2018 \u2013 May 2019Connected vehicle (CV) technologies promise transformative changes in Active Traffic Management (ATM) of freeways and arterials and have the potential to support Integrated Corridor Management (ICM). The goal of this project was to provide information to support the Florida Department of Transportation (FDOT) and other transportation agencies in their decisions to implement CV-based applications to improve mobility and safety of system performance on urban arterials. This report provides a review of the needed ATM functions for urban arterials, the existing and CV-based applications that can support the provision of the required functions, the experience with the applications, and an estimation of the impacts of the applications on mobility and safety. A methodology is then developed for the selection between CV-based applications and other applications, based on stochastic return on investment analysis and multi-criteria decision analysis (MCDA). This report also demonstrates the application of the developed method for the pre-deployment assessment of system impacts and the selection between alternatives for a project case study and the use of microscopic simulation modeling to assess CV-based applications. Finally, the report identifies the steps needed for planning post-deployment evaluation of CV-based applications to inform future evaluation efforts.96