Real-time data to improve en route decision making and reduce transportation demand.
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Real-time data to improve en route decision making and reduce transportation demand.

  • Published Date:

    2009-07-01

  • Language:
    English
Filetype[PDF-111.44 KB]


Details:
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  • OCLC Number:
    747714847
  • 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.
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