Growing congestion levels are an increasing problem, hindering efficient movement. An increase in congestion levels also mean increases in vehicular emissions and pollution to the environment. State departments of transportation (DOTs) and local municipalities cannot keep pace with growing traffic. Building our way out of congestion is no longer an option due to escalating construction costs combined with insufficient funds and right-of-way constraints. Intelligent Transportation Systems (ITS), such as Advanced Traffic Management Systems (ATMS), promote more efficient utilization of the available capacity resulting in increased productivity and safety on existing transportation facilities. DOTs across the country are employing Advanced Traveler Information Systems (ATIS) to inform drivers of traffic situations and redirect traffic away from congestion areas. This is the essence of ITS and more efficiently utilizing the available capacity of a network. To support these ITS and ATIS programs, data is needed in real-time to support Real-time measures of effectiveness (MOEs). These MOEs help decision makers inform drivers as to the traffic situation at a given time. Detection devices, including cameras, roadway detectors, and roadside incident reports, are some of the data sources available for helping make decisions.


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    Titel :

    Real Time Measures of Effectiveness


    Beteiligte:
    P. T. Martin (Autor:in) / J. Perrrin (Autor:in) / V. Kalyani (Autor:in)

    Erscheinungsdatum :

    2003


    Format / Umfang :

    68 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch





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