The recent advancement of vehicle positioning and wireless communication technologies facilitates the development of more sophisticated traffic control and information strategies. This study proposes a methodology for estimating lane-level travel times (L2TT) under an environment referred to as V2X, which includes vehicle-to-vehicle and vehicle-to-infrastructure communications. A framework is presented for a V2X-based traffic information system that is capable of transmitting vehicle positions and speeds, which are used as inputs of the proposed methodology. A concept of establishing temporal nodes and links based on the dynamic change in traffic conditions is proposed to estimate more reliable and accurate L2TT. VISSIM, a microscopic traffic simulator for multimodal traffic flow modeling, is used to evaluate the proposed travel time estimation method. Statistical analysis techniques including analysis of variance and a homogeneity test between data groups are adopted to derive more generalized conclusions. The evaluation results show that less than a 10% mean absolute percentage error was achievable with a 20% probe vehicle rate. It is expected that the proposed methodology will serve as a useful precursor to the development of a next-generation traffic information system in the robust wireless communications era.


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    Title :

    Estimation of Lane-Level Travel Times in Vehicle-to-Vehicle and Vehicle-to-Infrastructure–Based Traffic Information System


    Additional title:

    Transportation Research Record: Journal of the Transportation Research Board


    Contributors:
    Rim, Heesub (author) / Oh, Cheol (author) / Kang, Kyungpyo (author) / Kim, Seongho (author)


    Publication date :

    2011-01-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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