The congestion caused by a special type of incident that is different from a normal incident, namely the flooding incident under grade separation bridges, has shown to be a serious issue in Beijing because of several horrible recent experiences. To investigate the characteristics of the congestion, this study strives to develop a floating car data (FCD)-based method for detecting the flooding incident under grade separation bridges. The study first examines the applicability of using an improved cumulative sum (CUSUM) method. However, it is found that the improved CUSUM method does not function properly when all lanes are blocked by the flooding under bridges. Then, the study proposes an analytical method by analysing characteristics of FCD. Three decision parameters, sample losing rate, speed and accumulated discrepancy, are proposed, which play a synergistic effect in the detection. It is shown from case studies that the proposed method performs satisfactorily for detecting flooding incidents under grade separation bridges. The proposed method can be used to further investigate the congestion spreading regularities to develop quick and real-time response process to mitigating the congestion triggered by the flooding.


    Zugriff

    Zugriff über TIB


    Exportieren, teilen und zitieren



    Titel :

    Floating car data-based method for detecting flooding incident under grade separation bridges in Beijing


    Beteiligte:
    Song, Guohua (Autor:in) / Zhang, Fan (Autor:in) / Liu, Jun (Autor:in) / Yu, Liu (Autor:in) / Gao, Yong (Autor:in) / Yu, Lei (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2015-10-01


    Format / Umfang :

    7 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Floating car data‐based method for detecting flooding incident under grade separation bridges in Beijing

    Song, Guohua / Zhang, Fan / Liu, Jun et al. | Wiley | 2015

    Freier Zugriff

    Floating Vehicle Data Detection System in Beijing

    Quan, Y. / Jian, R. / Xiao-ming, L. | British Library Conference Proceedings | 2006


    Floating Vehicle Data Detection System in Beijing

    Yu Quan, / Rong Jian, / Liu Xiao-ming, | IEEE | 2006


    Urban Expressway Incident Detection Algorithm Based on Floating Car Data

    Zhao, X. / Weng, J.-C. / Rong, J. et al. | British Library Conference Proceedings | 2010


    Urban Expressway Incident Detection Algorithm Based on Floating Car Data

    Zhao, Xiaojuan / Weng, Jian-Cheng / Rong, Jian | ASCE | 2010