Based on the real-time traffic information available recently from the popular travelling service systems like AutoNavi in China, data driven analytics is introduced in this paper to explore implicit factors stressing the traffic congestion in urban areas. Some primary and high schools in the selected areas in Beijing are taken into account to discover the impacts of their locations on the traffic congestion around. The traffic data is extracted from AutoNavi and grouped on links to represent the traffic status in the period of rush hours. The indexes for traffic congestion and its tendency are then defined to describe the convergence and divergence of traffic congestion as well as the degrees of impact and changing gradient. Finally, the visualized analysis is introduced to demonstrate the contributions of all schools to traffic congestion in the selected area. Some suggestions to the governmental administration about how to improve the traffic situation around schools are also discussed.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Data driven analytics for school location impacting urban traffic congestion


    Beteiligte:
    Zhang, Qianqia (Autor:in) / Xu, Huile (Autor:in)


    Erscheinungsdatum :

    01.08.2017


    Format / Umfang :

    746495 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    School traffic and traffic congestion

    Dix, M. / Read, P. / Planning and Transport Research and Computation International Association | British Library Conference Proceedings | 1993


    Urban traffic congestion

    Orchard, D.F. | Engineering Index Backfile | 1959



    AI-Driven Traffic Congestion Management: A Predictive Analytics Approach for Smart Cities

    Rathore, Saurabh Pratap Singh / Farhaoui, Yousef / Aniebonam, Ebuka Emmanuel et al. | IEEE | 2025


    Urban traffic-congestion problem

    MacDonald, H.A. | Engineering Index Backfile | 1946