The hope is that statistical models fitted to historical data can be used to estimate the effect of road design elements on safety. Whether this can be done is not clear. A sign of trouble is that models based on diverse data sets tend not to yield similar results. Suggestions are made on how to increase the chance of success in this quest. Emphasis is on three questions: Which variables should serve in the model? What mathematical function should represent their influence? How does one check whether the representation of the influence of a variable is appropriate?


    Access

    Download

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Statistical Road Safety Modeling


    Additional title:

    Transportation Research Record: Journal of the Transportation Research Board


    Contributors:
    Hauer, Ezra (author)


    Publication date :

    2004-01-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Statistical Road Safety Modeling

    Hauer, Ezra | Online Contents | 2004


    Applications of Measurement Error Correction Approaches in Statistical Road Safety Modeling

    Musunuru, Anusha / Porter, Richard J. | Transportation Research Record | 2019


    Road Safety Modeling: Safe Road for All

    Kumar, Sheo / Mishra, Amit / Singh, Amritpal et al. | Springer Verlag | 2024


    Predicting Day and Night Traffic Volumes on Rural Roads for Statistical Road Safety Modeling

    Musunuru, Anusha / Wei, Ran / Porter, Richard J. | Transportation Research Record | 2017


    Statistical Modeling of Railroad Safety Performance

    B. A. Bodt / J. Thomas | NTIS | 1983