Analysis, Modeling, and Simulation (AMS) Testbed Development and Evaluation to Support Dynamic Mobility Applications (DMA) and Active Transportation and Demand Management (ATDM) Programs : Evaluation Report for the Chicago Testbed

2017PDFTech ReportFHWA-JPO-16-387DTFH61-12-D-00041Travel demand managementTravel demandTraffic modelsTraffic simulationTest bedsIntelligent vehiclesVehicle to roadside communicationsMobile communication systemsRoad weather information systemsSnow and ice controlSnow removalWinter maintenanceConnected vehiclesRoad Weather ManagementActive Transportation Demand Management (ATDM)Dynamic Mobility Application (DMA)Analysis modeling and simulation (AMS)Snow Plow RoutingWinter Maintenance OperationsChicago networkChicago (Illinois);United StatesUnited States. Department of Transportation. Intelligent Transportation Systems Joint Program OfficeYelchuru, BalajiKamalanathsharma, RajMahmassani, Hani S.Hong, ZihanMittal, ArchakXu, XiangBooz Allen HamiltonUnited States. Department of Transportation. Intelligent Transportation Systems Joint Program OfficeNTL-INTELLIGENT TRANSPORTATION SYSTEMS-INTELLIGENT TRANSPORTATION SYSTEMSIntelligent Transportation Systems Joint Program Office;Federal Highway AdministrationThe primary objective of this project is to develop multiple simulation testbeds and transportation models to evaluate the impacts of Connected Vehicle Dynamic Mobility Applications (DMA) and Active Transportation and Demand Management (ATDM) strategies. The results of this study project can be used by transportation agencies to identify and prioritize their investment options for implementing DMA and ATDM strategies that utilize connected vehicle technologies. This report documents the evaluations conducted on the Chicago Testbed, selected for this project because of the diversity of weather conditions encountered in the region. The report provides comprehensive documentation of the testbed development as well as the experimental results for the various weather and traffic conditions included in the analysis. These operational conditions were derived from historical data. Special attention is given to snow-related scenarios, for which unique strategies such as dynamic snowplow routing are considered. The results identify synergistic ATDM and DMA strategies that work well together, and others that may work best when taken individually. Sensitivities of the strategies\u2019 impacts to various implementation aspects of the predictive strategies are investigated under different operational conditions