One of the main tools that the Department of Transportation (DOT) of each state in the United States should have to support their work zone activities is a sound model that produces adequate work zone schedules for roadway maintenance and construction projects; this should be able to to produce reliable estimates of the impacts on traffic flow characteristics due to work zone activity. Existing analytical models used by DOTs have been developed based on traditional volume/capacity formulas with deterministic traffic queuing theory. However, the shortcomings of these models often result in inaccurate estimates of traffic flow delay, speed and associated costs. The objective of this report is to develop a methodology that accomplishes the following: 1) Estimates the traffic flow characteristics in work zones using Floating Car Data (FCD) also know as vehicle-probe data. 2) Minimizes the impact of work zones on traffic flow characteristics. 3) Minimizes the total work zone impact cost (including maintenance cost, idling cost, vehicle emissions, and user cost) yielded by the optimized work zone lengths and the associated schedule. The developed methodology takes advantage of the fact that the majority of freeways throughout the United States are now monitored through vehicle probe data that are based on the following technologies: 1) The proliferation of a GNSS (Global Navigation Satellite System) in vehicles and cellular phones that provide vehicle location and speed data every second. 2) The proliferation of Bluetooth Technology (BT), in which vehicle location and speed/travel time are estimated using BT installed at the side of the roadway – while BT is currently under more limited coverage, which is expanding rapidly. These FCD technologies provide an added dimension to the estimation of traffic flow characteristics in work zones, namely travel time, speed, and associated delay. To test this methodology, two case studies were conducted using a real work zone on a segment of Interstate I-287 in New Jersey.


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    Titel :

    Optimizing Work Zones for Highway Maintenance with Floating Car Data (FCD)


    Beteiligte:
    S. Chien (Autor:in) / K. Mouskos (Autor:in)

    Erscheinungsdatum :

    2015


    Format / Umfang :

    57 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch





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    Chien, S. / Tang, Y. / Schonfeld, P. | British Library Online Contents | 2002


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    Tang, Yimin / Chien, Steven I-Jy | Transportation Research Record | 2008


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    Hanscom, F. R. / Statens vag- och transportforskningsinstitut / Transportation Research Board; U.S. | British Library Conference Proceedings | 1996