How to efficiently identify traffic bottlenecks in the expressway network and implement targeted measures is an important issue to mitigate traffic congestion. In recent years, with the proliferation of smartphones, smartphone-based navigation applications are receiving the worldwide popularity, which are being treated as an extremely rich source of traffic data. In this paper, we are devoted to proposing a novel approach to investigate traffic state and identify recurrent bottlenecks quickly and accurately from macroscopic network perspective, through fusing the data sources of fixed detectors and mobile navigation apps. First of all, this paper plots flow-speed fundamental diagram to derive critical speed, which is treated as the criterion to determine traffic state. Once the criterion has been established, typical bottlenecks in the entire expressway network can be efficiently identified through only utilizing smartphone-based probe speed data. Secondly, three pioneering indicators are put forward to quantify oversaturated traffic state and classify bottleneck patterns on urban expressway network. Applying this methodology, we take Beijing expressway network as a case to identify different patterns of bottlenecks, which are validated to comply with the reality. Moreover, the relationship between critical speed and the associated road segment features is explored and shows the possibility of predicting the critical speed even without flow data. As an end, some recommendations are proposed for improving different types of traffic bottlenecks.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Expressway bottleneck pattern identification using traffic big data—The case of ring roads in Beijing, China


    Beteiligte:
    Yang, Yanni (Autor:in) / Li, Meng (Autor:in) / Yu, Jiaying (Autor:in) / He, Fang (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2020-01-02


    Format / Umfang :

    14 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    Research on Second Ring Expressway Traffic Congestion in Beijing

    Mao, He ;Xu, Xiu Hua | Trans Tech Publications | 2013



    Influence of the Moving Bottleneck on the Traffic Flow on Expressway

    Li, Qiao Ru ;Pan, Yue Xiang ;Chen, Liang | Trans Tech Publications | 2011


    Traffic Flow Characteristics of Bottleneck Segment with Ramps on Urban Expressway

    Guan, Yu / Zhu, Jishuang / Zhang, Ning et al. | ASCE | 2009