Incidents reduce the capacity of highway, seriously disturb traffic operations, and sometimes easily lead to secondary accidents, especially in situations where traffic volume is heavy. In this research, the characteristics of traffic incidents are analyzed with detailed incident records collected from freeways during various holidays. Accident characteristics, such as accident frequency, severity, accident type, and causes, show different patterns from those of ordinary time. This study finds that traffic volume and accident rate have an exponential relationship when traffic volume is heavy during the holidays. The distribution of accident duration is a left skewed bell-shape curve and P-P probability plot shows that the accident duration distribution follows a lognormal distribution. The findings of this research are beneficial to freeway safety management and traffic control during holidays. They also provide good references for accident prediction and prevention.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Traffic Incident Characteristics Analysis of Freeway during Holidays


    Beteiligte:
    Zhong, Liande (Autor:in) / Li, Xiuwen (Autor:in)

    Kongress:

    The Twelfth COTA International Conference of Transportation Professionals ; 2012 ; Beijing, China


    Erschienen in:

    CICTP 2012 ; 2131-2138


    Erscheinungsdatum :

    23.07.2012




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Incident Characteristics and Impact on Freeway Traffic

    C. Quiroga / E. Kraus / R. Pina et al. | NTIS | 2004


    Traffic Volume Forecasting Model of Freeway Toll Stations During Holidays – An SVM Model

    Xiaowei HU / Yongzhi XIAO / Tianlin WANG et al. | DOAJ | 2022

    Freier Zugriff

    Understanding Intercity Freeway Traffic Variability at Holidays Using Anonymous Cell Phone Data

    Liu, Gang / Wang, Chenhao / Qiu, Tony Z. | Springer Verlag | 2016


    Incident indicators for freeway traffic flow models

    Azita Dabiri / Balázs Kulcsár | DOAJ | 2022

    Freier Zugriff

    Prediction models of freeway traffic incident delay

    Cong, Haozhe / Liu, Jun / Wu, Mengxue | IEEE | 2015