Improving Analysis, Modeling, and Simulation (AMS) for Connected and Automated Vehicle (CAV) Capabilities

This project will improve current Analysis, Modeling, and Simulation (AMS) capabilities in assessing the performance of connected and automated vehicles (CAV). Data sets generated from this project will support new CAV operations models that will allow for more realistic assessments of CAV impacts on traffic system performance. The tools will allow state and local agencies to make more informed decisions on strategies that incorporate CAVs in their transportation systems management and operations. The approach will be to provide open data sets and models and to develop the models "in the open."

• Supplemental Notes:
  • USDOT Research Hub DisplayID 157745

Language

• English

Project

• Status: Active
• Funding: $618440
• Sponsor Organizations:

  Intelligent Transportation Systems - Joint Program Office

  ,    
• Managing Organizations:

  Federal Highway Administration

  Washington, DC  United States 
• Project Managers:

  Mchale, Gene

• Start Date: 20200302
• Expected Completion Date: 20220930
• Actual Completion Date: 0
• USDOT Program: Automation
• Subprogram: Performance-Based Safety Rules

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Connected vehicles; Data analysis; Simulation
• Subject Areas: Highways; Planning and Forecasting; Vehicles and Equipment;

Filing Info

• Accession Number: 01864194
• Record Type: Research project
• Source Agency: Department of Transportation
• Files: RIP, USDOT
• Created Date: Nov 17 2022 11:56AM