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Using detector data to identify and examine crashes and incidents on freeways.

File Language:
English


Details

  • Alternative Title:
    USDOT Region V Regional University Transportation Center Final Report
  • Creators:
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  • Abstract:
    Traffic incidents, such as crashes and vehicular breakdowns, result in reductions in roadway capacity and

    are the primary cause of non-recurrent congestion in urban areas. In addition to contributing to

    congestion and delay, incidents adversely affect the safety of other motorists, as well as first responders.

    To address these issues, transportation agencies have initiated incident management programs aimed at

    detecting and responding to incidents in order to restore freeways to full capacity by clearing the incident

    scene as soon as possible. Such programs play an important role in the operation of the transportation

    system and require collaboration and efficient communication among various agencies, including fire and

    rescue, police, towing and recovery, transportation engineers, and freeway service patrols. In the Detroit

    metropolitan area, the Michigan Department of Transportation (MDOT) operates a Freeway Courtesy

    Patrol (FCP) program as part of its freeway incident management program from the Michigan Intelligent

    Transportation Systems (MITS) Center in downtown Detroit. As a part of its operations, the MITS

    Center maintains a series of databases that detail freeway operations, as well as the activities of the FCP.

    However, to date these databases have been maintained independently of one another and no research has

    examined the interrelationships between freeway operations and the services of the FCP. This report

    details the activities from the first year of a two-year study aimed at analyzing operations and incident

    response on the Detroit freeway network.

  • Format:
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  • Main Document Checksum:
    urn:sha256:8c993d760ecdc8ea7764b6aa9f284bc3df79ab4c4abf0136715583ec8b475331
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  • File Type:
    Filetype[PDF - 763.89 KB ]
File Language:
English
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