Road traffic safety influences people’s lives and properties. Safety evaluations should not only consider whether an accident happens, but also the potential risks. This paper develops a traffic risk index (TRI) for evaluating the potential risks on urban roads during a specific period. Features are extracted from driving data offered by navigation corporations, then categorized by road class and road type based on the significance analysis. The index is calculated using the TOPSIS method. The results show the different TRI distribution based on urban road classes and types. We also present a time-varying risk map and the correlation with accident frequency. This study can help to assess and predict urban road traffic risks, as well as providing references for personal drivers and relevant policy-making of the traffic management department to prevent road traffic accidents.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    An Urban Traffic Risk Assessment Using TOPSIS Method Based on Driving and Road Information


    Beteiligte:
    Shan, Yu (Autor:in) / Li, Huiping (Autor:in) / Zhang, Ke (Autor:in) / Li, Meng (Autor:in)

    Kongress:

    21st COTA International Conference of Transportation Professionals ; 2021 ; Xi’an, China


    Erschienen in:

    CICTP 2021 ; 1245-1254


    Erscheinungsdatum :

    2021-12-14




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Risk factors in urban road traffic accidents

    Vorko-Jović, Ariana / Kern, Josipa / Biloglav, Zrinka | Elsevier | 2005


    Driving assistance information processing system and method using road traffic information facilities

    KIM JISOO / PARK BUMJIN / MOON BYEONGSUP et al. | Europäisches Patentamt | 2023

    Freier Zugriff

    Risk factors in urban road traffic accidents

    Vorko-Jovi, Ariana | Online Contents | 2006