Real-time data to improve en route decision making and reduce transportation demand.
Advanced Search
Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.

Search our Collections & Repository

All these words:

For very narrow results

This exact word or phrase:

When looking for a specific result

Any of these words:

Best used for discovery & interchangable words

None of these words:

Recommended to be used in conjunction with other fields



Publication Date Range:


Document Data


Document Type:






Clear All

Query Builder

Query box

Clear All

For additional assistance using the Custom Query please check out our Help Page


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

Filetype[PDF-111.44 KB]

  • English

  • Details:

    • Corporate Creators:
    • Resource Type:
    • Geographical Coverage:
    • 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:
    • Main Document Checksum:
    • File Type:

    Supporting Files

    • No Additional Files

    More +

    You May Also Like

    Checkout today's featured content at

    Version 3.24