Analysis, modeling, and simulation (AMS) testbed development and evaluation to support dynamic mobility applications (DMA) and active transportation and demand management (ATDM) programs \u2014 Chicago calibration report.

2016PDFTech ReportFHWA-JPO-16-381DTFH61-12-D-00041Travel demand managementTravel demandTraffic modelsTraffic simulationTest bedsATDMDMAAMSSelection criteriaTestbedsactive transportation demand managementsmodelingdynamic mobility applicationweather management strategyChicagoChicago (Illinois)United States. Department of Transportation. Intelligent Transportation Systems Joint Program OfficeYelchuru, BalajiMahmassani, Hani S.Zohdy, Ismail H.Kamalanathsharma, Raj KishoreBooz Allen HamiltonUnited States. Department of Transportation. Intelligent Transportation Systems Joint Program OfficeFederal Highway AdministrationThe primary objective of this project is to develop multiple simulation Testbeds/transportation models to evaluate the impacts of DMA connected vehicle applications and the active and dynamic transportation management (ATDM) strategies. The outputs (modeling results) from this project will help USDOT prioritize their investment decisions for DMA and ATDM programs. One of the unique focus of the Chicago testbed is on Road Weather Connected Vehicle Applications. The Active Traffic Management (ATM) strategies that will be assessed are Dynamic Shoulder Lanes, Dynamic Lane Use Control, Dynamic Speed Limits, and Adaptive Traffic Signal Control. The Active Demand Management (ADM) strategies that will be assessed are Predictive Traveler Information and Dynamic Routing. The Weather-related strategies that will be assessed are snow Emergency Parking Management, Traffic Signal Preemption for Winter Maintenance Vehicles, Snowplow Routing, and Anti-icing and Deicing Operations. From the INFLO Bundle, speed Harmonization (SPD-HARM) will be assessed.The primary purpose of this report is to document the Calibration process for AMS Chicago Testbed. The report expands on detailed testbed description including the geographic location, modes, operational conditions and cluster analysis details. The report discusses the field observed data used to calibrate the simulation models. Listed in this report are also the margin of error for each calibration effort for each baseline model