In an era of increasing urban traffic congestion, cities in China still lack a comparable congestion indicator. Aiming to fill this gap, we computed the travel time index (TTI) with taxi GPS data. Our TTI is the ratio of the travel time during the period of interest to the travel time during free-flow conditions. Using Shenzhen as the case study, we computed road level TTI for nearly 10,000 roads. The GPS data, which tracks the movement of 13,798 taxies, are processed in a PostgreSQL database. Our method can measure urban transportation congestion with fine-grained spatial and temporal accuracy, and has the potential to be used in other cities.


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    Titel :

    Measuring Traffic Congestion with Taxi GPS Data and Travel Time Index


    Beteiligte:
    Kong, Xiangfu (Autor:in) / Yang, Jiawen (Autor:in) / Yang, Zhongyu (Autor:in)

    Kongress:

    15th COTA International Conference of Transportation Professionals ; 2015 ; Beijing, China


    Erschienen in:

    CICTP 2015 ; 3751-3762


    Erscheinungsdatum :

    13.07.2015




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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    Levinson, Herbert / Lomax, Timothy | Transportation Research Record | 1996


    Developing a Travel Time Congestion Index

    Levinson, H. S. / Lomax, T. J. / National Research Council; Transportation Research Board | British Library Conference Proceedings | 1996


    Developing a Travel Time Congestion Index

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    Developing a Travel Time Congestion Index

    Levinson, Herbert S. / Lomax, Timothy J. | Transportation Research Record | 1996


    Measuring Traffic Congestion

    Boarnet, Marlon G. | Online Contents | 1998