This paper aims to contribute to the literature by conducting a causation study for large-truck involved crashes. Detailed records of crashes involving large trucks occurred in the state of Florida between 2007 and 2016 were investigated. A hierarchical framework was developed to identify primary causes and contributing factors to large truck crashes. The framework identified six general categories of potential causes to a crash, including driving error, non-driving error, driver distraction or vision obstruction, vehicle defect, roadway conditions, and weather conditions. The application of the framework was illustrated in two case studies including a highway segment and an intersection with a high concentration of large truck crashes. The findings can be used to better understand the underlying factors contributing to large truck crashes and develop potential countermeasures and policies that target specific roadway segments.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Exploring Crash Causation for Large Truck-Involved Accidents: A Hierarchical Framework


    Beteiligte:
    Rahimi, Alireza (Autor:in) / Azimi, Ghazaleh (Autor:in) / Jin, Xia (Autor:in) / Zhai, Liang (Autor:in) / Bejleri, Ilir (Autor:in)

    Kongress:

    International Conference on Transportation and Development 2020 ; 2020 ; Seattle, Washington (Conference Cancelled)



    Erscheinungsdatum :

    2020-08-31




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Exploring Crash Causation for Large Truck-Involved Accidents: A Hierarchical Framework

    Rahimi, Alireza / Azimi, Ghazaleh / Jin, Xia et al. | TIBKAT | 2020


    Large Truck Crash Causation Study

    D. Blower / K. L. Campbell | NTIS | 2002



    Large Truck Crash Causation Study, Interim Report

    K. Thiriez / G. Radja / G. Toth | NTIS | 2002