Intelligent transportation systems (ITS) promise more efficient transportation networks. These systems use advanced information processing and communication technologies to manage traffic systems (signal setting, ramp metering, incident detection, verification, and clearance) and to control the flow of vehicles in order to achieve greater network efficiency. Central to an ITS are Advanced Traffic Management (ATMS), which use advanced technology to assist the operator in managing traffic networks. An ATMS aims to assist control center operators by providing tools for (1) managing data coming into the control center; (2) generating information (from the incoming data) that depicts from various diverse resources the operational status of a roadway network; (3) detecting and resolving incidents; and (4) controlling the traffic network. The focus of this project is on the third of these four tasks.


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    Title :

    Evaluation of Incident Detection Methodologies (Revised)


    Contributors:
    H. S. Mahmassani (author) / C. Haas (author) / S. Zhou (author) / J. Peterman (author)

    Publication date :

    1998


    Size :

    52 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English





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