Traffic congestion incurs a cost of over one hundred twenty billion dollars each year in the US. In 2011, Americans spent approximately 5.5 billion additional hours in traffic and purchased an estimated 2.9 billion gallons of additional gaso-line due to congestion. Addressing this high cost of congestion is a primary issue facing many of today’s urban and suburban areas. However, as resources have become increasingly constrained, and right-of-way and construction costs have increased, transportation system managers and users have had to fundamentally shift away from new roadway capacity as the primary method for alleviating congestion. This shift is reflected in the substantial efforts by governments, private industry, and the research community to develop and implement alternate means for alleviating congestion. As part of these broader efforts this chapter will present a framework to provide the public and transportation facility managers with real-time and near-future arterial performance measures. An approach based on online data driven, microscopic traffic simulation utilizing point sensor data is used to provide these performance measures. To demonstrate the feasibility and validity of this framework, a field test was conducted in Atlanta, GA. The results from this test indicate the feasibility and accuracy a real-time, data driven traffic simulation to estimate performance measures along an arterial.


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    Titel :

    Real-Time Data-Driven Arterial Simulation for Performance Measure Estimation


    Weitere Titelangaben:

    Simulation Foundations, Meth., Applicat.


    Beteiligte:
    Loper, Margaret L. (Herausgeber:in) / Henclewood, Dwayne (Autor:in) / Suh, Wonho (Autor:in) / Guin, Angshuman (Autor:in) / Guensler, Randall (Autor:in) / Fujimoto, Richard (Autor:in) / Hunter, Michael (Autor:in)


    Erscheinungsdatum :

    01.05.2015


    Format / Umfang :

    13 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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