Investigation of the casualty crash characteristics and contributory factors is one of the high-priority issues in traffic safety analysis. In this paper, we propose a method based on association rules to analyze the characteristics and contributory factors of work zone crash casualties. A case study is conducted using the Michigan M-94/I-94/I-94BL/I-94BR work zone crash data from 2004 to 2008. The obtained association rules are divided into two parts including rules with high-lift, and rules with high-support for the further analysis. The results show that almost all the high-lift rules contain either environmental or occupant characteristics. The majority of association rules are centered on specific characteristics, such as drinking driving, the highway with more than 4 lanes, speed-limit over 40mph and not use of traffic control devices. It should be pointed out that some stronger associated rules were found in the high-support part. With the network visualization, the association rule method can provide more understandable results for investigating the patterns of work zone crash casualties.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Investigation of work zone crash casualty patterns using association rules



    Erschienen in:

    Erscheinungsdatum :

    2016




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch



    Klassifikation :

    BKL:    44.80 / 55.84 Straßenverkehr / 55.24 / 44.80 Unfallmedizin, Notfallmedizin / 55.84 / 55.24 Fahrzeugführung, Fahrtechnik




    Marine Casualty Investigation

    Stecher, W. | Online Contents | 1997


    Casualty crash types for which teens are at excess risk

    Bingham, C.R. / Shope, J.T. | Tema Archiv | 2007


    Speed and the Risk of Involvement in a Casualty Crash

    Kloeden, C. / McLean, J. / Land Transport Safety Authority et al. | British Library Conference Proceedings | 1998


    Association Patterns of Work Zone Crashes using Bayesian Network

    Das, Subasish / Rahman, M. Ashifur / Liu, Jinli et al. | Transportation Research Record | 2024