Using traffic data collected by floating car is a feasible way to determine road network traffic conditions. But conventional travel speed estimation from high sampling floating car data (FCD) is not applicable in practice. In this paper we propose a method for estimating road travel speed from low sampling FCD based on a trajectory-based approach, which also takes intersections into consideration. The experiment demonstrates that this approach can achieve a trade-off between low sampling FCD and higher estimation accuracy, and can be further used for traffic state analysis and short-term prediction.


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    Titel :

    Urban Road Travel Speed Estimation Based on Low Sampling Floating Car Data


    Beteiligte:
    Yue, Y. (Autor:in) / Zou, H. X. (Autor:in) / Li, Q. Q. (Autor:in)

    Kongress:

    Ninth International Conference of Chinese Transportation Professionals (ICCTP) ; 2009 ; Harbin, China


    Erschienen in:

    Erscheinungsdatum :

    2009-07-23




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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