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

Details

• Creators:
  Yelchuru, Balaji ; Kamalanathsharma, Raj ; Mahmassani, Hani S. ; Hong, Zihan ; Mittal, Archak ; Xu, Xiang
• Corporate Creators:
  Booz Allen Hamilton
• Corporate Contributors:
  United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office
• Subject/TRT Terms:
  • Travel demand management
  • Travel demand
  • Traffic models
  • Traffic simulation
  • Test beds
  • Intelligent vehicles
  • Vehicle to infrastructure communications
  • Mobile communication systems
  • Road weather information systems
  • Snow and ice control
  More +
• Publication/ Report Number:
  FHWA-JPO-16-387
• Resource Type:
  Tech Report
• Geographical Coverage:
  Chicago (Illinois);United States
• Corporate Publisher:
  United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office
• Abstract:
  The 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’ impacts to various implementation aspects of the predictive strategies are investigated under different operational conditions.
• Format:
  PDF
• Funding:
  DTFH61-12-D-00041
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/34769/dot_34769_DS1.pdf
• File Type:
  [PDF - 8.60 MB]
• Collection(s):
  Federal Highway Administration ; ITSJPO Digital Library
• Main Document Checksum:
  urn:sha-512:9fc46607bce9ee15e864dfc737282b4e08b095328f4090e0318d9cb1b29d42a9f33b221df027e3d7b550b4ce882bfaed6fd635b5b466bc15bcb364a08813810d