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High occupancy vehicle (HOV) lane management system : amendment A.

File Language:
English


Details

  • Creators:
  • Corporate Creators:
    University of California, Berkeley. California Partners for Advanced Transportation Technologies
  • Corporate Contributors:
    United States. Federal Highway Administration
  • Subject/TRT Terms:
  • Publication/ Report Number:
  • Resource Type:
    Tech Report
  • Geographical Coverage:
    California
  • Corporate Publisher:
    California. Dept. of Transportation. Division of Research and Innovation
  • Abstract:
    This report describes a system designed to provide Single Occupancy Hybrid Vehicles (SOHVs) restriction

    messages dynamically to drivers through variable message signs. This system will allow California to

    comply with federal requirements (that Single Occupancy Hybrid Vehicles (SOHVs) must be excluded

    from High Occupancy Vehicle (HOV) lanes if their speed performance is degraded) by providing a way for

    Caltrans Traffic Management Centers (TMCs) to determine whether or not SOHVs should be permitted in

    HOV facilities. In turn, they could disseminate that information through control of variable message signs

    that indicate to drivers which vehicles are permitted in the HOV lane.

    The work performed under this project represents a step forward to understanding various HOV restriction

    scenarios and their impact on HOV lane and mainline congestion. In this project, researchers studied, via

    simulations, the effects of permitting or restricting eligible single occupant hybrid vehicles (SOHV) from use of

    HOV facilities. The team simulated various control scenarios on a selected corridor (25 mile segment of

    California Interstate-210 Eastbound). Results from the simulations showed that reduction in vehicles eligible to

    use HOV lane (not just SOHV but any vehicle) could reduce not only the delay experienced by HOV vehicles

    but also the total system delay.

    This high-level system design was presented in sufficient detail to allow implementation as software or a

    relational database. Implementation would allow for the simulation of traffic scenarios to be tested against

    real data. This should be the next step in the development of this system.

  • Format:
    PDF
  • Funding:
    65A0375
  • Collection(s):
  • Main Document Checksum:
    urn:sha256:37858aea66ea1645b0407d81327c417dd7fe750200a2ca90a02abf7b9e91c82c
  • Download URL:
  • File Type:
    Filetype[PDF - 2.20 MB ]
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