How Real People Respond in Real Time to Real Congestion

Much of the current wave of investments in distributed traffic information systems is predicated on the assumption that given the right information, travelers will individually adapt to congestion in ways that boost system performance. But what if this assumption isn't true? This two-phase project will explore how commuters change their travel behavior in response to the availability of customized, real-time information regarding traffic congestion on their preferred travel route

    Language

    • English

    Project

    • Status: Active
    • Sponsor Organizations:

      Research and Innovative Technology Administration

      University Transportation Centers Program
      1200 New Jersey Avenue
      Washington, DC  United States  20590
    • Project Managers:

      Ehrlichman, Courtney

    • Performing Organizations:

      Technologies for Safe and Efficient Transportation University Transportation Center

      Carnegie Mellon University
      Pittsburgh, PA  United States  15213
    • Principal Investigators:

      LANDIS, JOHN

    • Start Date: 20121200
    • Expected Completion Date: 0
    • Actual Completion Date: 20130100
    • Source Data: RiP Project 34177

    Subject/Index Terms

    Filing Info

    • Accession Number: 01481189
    • Record Type: Research project
    • Source Agency: Technologies for Safe and Efficient Transportation University Transportation Center
    • Files: UTC, RiP
    • Created Date: May 11 2013 1:01AM