As the first and crucial step in improving the overall safety of a road network, hot spots identification (HSID) has been the focus of many research efforts. In general, most of the HSID methods employ either crash counts or crash rates to screen hazardous locations. However, there is a lack of empirical comparison of the two crash statistics in terms of their identification performances when dealing with HSID. To quantify the performance difference of the two crash statistics, both real road section accident data and experimentally derived simulated data are used in this paper. Three different tests are employed to evaluate different aspects of identification performance. Additionally, various levels of confidence are also explored across different situations. The results illustrate that crash counts significantly outperforms crash rates in identifying hot spots. The findings are in agreement with the other theoretical derivations shown in previous studies.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    How to Select the Appropriate Safety Measurement to Identify a Hotspot


    Contributors:

    Conference:

    Tenth International Conference of Chinese Transportation Professionals (ICCTP) ; 2010 ; Beijing, China


    Published in:

    ICCTP 2010 ; 1047-1057


    Publication date :

    2010-07-22




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    How to Select the Appropriate Safety Measurement to Identify a Hotspot

    Cheng, W. / Wang, X. / Anderson, K. et al. | British Library Conference Proceedings | 2010


    Optical filters select appropriate wavelengths

    Peach, L. A. | British Library Online Contents | 1997



    Select the appropriate camera for your application

    DeMeis, R. | British Library Online Contents | 1995