Identifying accurate origin-destination (O-D) travel demand is one of the most important and challenging tasks in the transportation planning field. Recently, a wide range of traffic data has been made available. This paper proposes an O-D estimation model using multiple field data. This study takes advantage of emerging technologies – car navigation systems, highway toll collecting systems and link traffic counts – to determine O-D demand. The proposed method is unique since these multiple data are combined to improve the accuracy of O-D estimation for an entire network. We tested our model on a sample network and found great potential for using multiple data as a means of O-D estimation. The errors of a single input data source do not critically affect the model’s overall accuracy, meaning that combining multiple data provides resilience to these errors. It is suggested that the model is a feasible means for more reliable O-D estimation.


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    Titel :

    Origin-destination trip table estimation based on subarea network OD flow and vehicle trajectory data


    Beteiligte:
    Kim, Hyunmyung (Autor:in) / Nam, Daisik (Autor:in) / Suh, Wonho (Autor:in) / Cheon, Seung Hoon (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2018-04-03


    Format / Umfang :

    21 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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