Congestion Mitigation Potential of Autonomous (Driverless) Vehicles: A Scenario Based Approach

The advent of new vehicular technologies has raised considerable debate about the potential impacts of such disruptive technologies on traveler behavior, demand for transportation services and infrastructure, and transportation network performance. There are a number of disruptive technologies that are being considered with various levels of automation, control, and communication protocols. The US Department of Transportation has ongoing initiatives related to the deployment of connected vehicle systems, and the development of analysis, modeling, and simulation tools that would facilitate the analysis of the impacts and potential congestion benefits that such connected vehicle infrastructure systems may provide. The challenge facing the profession is that there is very little information, analysis, modeling, or behavioral studies that provide a rigorous prediction of the potential impacts of these technologies on human activity‐travel behavior, freight systems, public transit and taxi systems, and household and firm location choices (land use). The overall goal of this project is to develop a rigorous framework that is founded on sound behavioral constructs and analytical methods that would allow the accurate estimation of the impacts of autonomous, driverless, connected, and other advanced vehicular technologies under a variety of scenarios. This objective will be accomplished through the following 6 tasks: (1) Literature Review; (2) Definition of Advanced Vehicular Technologies and Levels of Automation; (3) Development of Scenarios of Advanced Vehicular Technology Deployment; (4) Identification of Range of Possible Impacts for Different Transportation Markets; (5) Development of Conceptual Framework; (6) Submission of Final Report.

  • Record URL:
  • Supplemental Notes:
    • ASU Account: XCS0567 Prime Award: DTRT13GUTC30 Subcontract Number: Z9600003


  • English


  • Status: Completed
  • Funding: $80000.00
  • Contract Numbers:


  • Sponsor Organizations:

    National Transportation Center @ Maryland

    1173 Glenn L. Martin Hall
    University of Maryland
    College Park, Maryland  United States  20742
  • Project Managers:

    Zhang, Lei

  • Performing Organizations:

    Arizona State University, Tempe

    Tempe, AZ  United States 
  • Principal Investigators:

    Pendyala, Ram

  • Start Date: 20140301
  • Expected Completion Date: 0
  • Actual Completion Date: 20150701
  • Source Data: RiP Project 37167

Subject/Index Terms

Filing Info

  • Accession Number: 01575253
  • Record Type: Research project
  • Source Agency: National Transportation Center @ Maryland
  • Contract Numbers: DTRT13-G-UTC30
  • Files: UTC, RIP
  • Created Date: Sep 1 2015 1:43AM