Real-time data to improve en route decision making and reduce transportation demand.
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ROSA P serves as an archival repository of USDOT-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to ensure public access to scientific information.
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Real-time data to improve en route decision making and reduce transportation demand.

Filetype[PDF-111.44 KB]


English
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Details:

  • Corporate Creators:
    CTC & Associates LLC
  • Subject/TRT Terms:
  • Resource Type:
    Tech Report
  • Geographical Coverage:
    California
  • Corporate Publisher:
    California. Dept. of Transportation. Division of Research and Innovation
  • Abstract:
    One approach to mitigating traffic and strains on the transportation system is to shift focus from supply to demand.

    When provided with good information and sufficient motivation, users of a transportation system can make

    decisions that will result in reduced demand on the system, decreased gridlock, increased transit ridership, and

    reduced need for additional lanes.

    In order to meet the department’s goals of reduced traveler delay and improved transportation system reliability,

    Caltrans wants to pursue the most effective real-time strategies to influence travel demand. We undertook this

    Preliminary Investigation to uncover best practices (within and outside of California) and identify the most

    promising research areas related to how information is collected, transmitted and used in real time, and what effect

    real-time en route information has on transportation demand. This investigation is a first, high-level look at available

    information on this topic; additional follow-up research on selected subtopics will yield much more depth and detail.

  • Format:
    PDF
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