Evaluating Resilience in Mixed-Autonomy Transportation Systems

Future deployments of autonomous vehicles raise questions on how the actions of such vehicles may affect transportation systems as a whole, including the human-driven vehicles with which they share the road. The project team proposes to build a model of how autonomous vehicles can affect such mixed-autonomy systems and in particular their resilience to traffic disruptions. The project team will validate their results with simulations on Pittsburgh data and derive policy recommendations for autonomous vehicle regulations.

• Record URL:
  https://ppms.cit.cmu.edu/projects/detail/352

Language

• English

Project

• Status: Completed
• Funding: $300000
• Contract Numbers:

  69A3551747111

• Sponsor Organizations:

  Carnegie Mellon University

  Mobility21 National USDOT UTC for Mobility of Goods and People
  Pittsburgh, PA  United States  15213

  Office of the Assistant Secretary for Research and Technology

  University Transportation Center Program
  ,    
• Managing Organizations:

  Carnegie Mellon University

  Mobility21 National USDOT UTC for Mobility of Goods and People
  Pittsburgh, PA  United States  15213
• Project Managers:

  Kline, Robin

• Performing Organizations:

  Carnegie Mellon University

  ,    
• Principal Investigators:

  Joe-Wong, Carlee

• Start Date: 20210101
• Expected Completion Date: 20220630
• Actual Completion Date: 20220725
• USDOT Program: University Transportation Centers

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Policy; Regulation; Service disruption; Traffic flow; Vehicle mix
• Geographic Terms: Pittsburgh (Pennsylvania)
• Subject Areas: Highways; Operations and Traffic Management; Policy; Vehicles and Equipment;

Filing Info

• Accession Number: 01760146
• Record Type: Research project
• Source Agency: National University Transportation Center for Improving Mobility (Mobility21)
• Contract Numbers: 69A3551747111
• Files: UTC, RIP
• Created Date: Dec 16 2020 3:12PM