A Connected Automation Enabled Cooperative Management Framework for Mixed Traffic

The goal of this project is to develop a connected automation-enabled cooperative management framework for mixed traffic. The framework aims to cover cooperative perception, behavior understanding for human-driven vehicles, and performance optimization for the overall system in terms of safety, mobility, and environmental sustainability by controlling the connected and automated vehicles or the infrastructures. The benefit of the proposed system includes improving the safety of both connected and automated vehicles and traditional human-driven vehicles, reducing the energy consumption of the overall traffic system, and increasing mobility.

• Record URL:
  https://ncst.ucdavis.edu/project/connected-automation-enabled-cooperative-management-framework-mixed-traffic

Language

• English

Project

• Status: Active
• Funding: $20000
• Contract Numbers:

  DOT 69A3551747114

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590

  National Center for Sustainable Transportation

  University of California, Davis
  Davis, CA  United States 
• Managing Organizations:

  National Center for Sustainable Transportation

  University of California, Davis
  Davis, CA  United States 

  University of California, Riverside

  1084 Columbia Ave.
  Riverside, CA  United States  92507
• Project Managers:

  Iacobucci, Lauren

• Performing Organizations:

  National Center for Sustainable Transportation

  University of California, Davis
  Davis, CA  United States 

  University of California, Riverside

  1084 Columbia Ave.
  Riverside, CA  United States  92507
• Principal Investigators:

  Zhao, Zhouqiao

  Barth, Matthew

  Wu, Guoyuan

• Start Date: 20220901
• Expected Completion Date: 20230901
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Connected vehicles; Drivers; Energy consumption; Traffic safety; Vehicle mix
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; Vehicles and Equipment;

Filing Info

• Accession Number: 01853803
• Record Type: Research project
• Source Agency: National Center for Sustainable Transportation
• Contract Numbers: DOT 69A3551747114
• Files: UTC, RIP
• Created Date: Aug 2 2022 1:50PM