Continuous monitoring of traffic accidents enables targeted optimization of vehicle safety systems as well as safer traffic infrastructure planning. Conventional methods for the identification of accident black spots are based on a retrospective analysis of historical accident data and identification of accident predictors a posteriori. Preventive identification of potential accident black spots enables early intervention in order to increase the traffic safety. This paper demonstrates a method, to predict the accident black spots based on the near collision detection. Additionally, the potential crash severity estimation is assigned to the identified near collisions to classify the spot risk. Four different approaches to increase the road safety based on collected data are presented. Among other things, a method for sensitization of the driver regarding the individual hazards profile and identification of safety potentials, is highlighted.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Poster: Preventive Identification of Accident Black Spots on the Basis of Crash Severity Estimation


    Contributors:


    Publication date :

    2023-04-26


    Size :

    400665 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Spatial pattern identification and crash severity analysis of road traffic crash hot spots in Ohio

    Alam, Md Saiful / Tabassum, Nusrat Jahan | Elsevier | 2023

    Free access

    Identifying accident black spots based on the accident spacing distribution

    Hongjun Cui / Jianguo Dong / Minqing Zhu et al. | DOAJ | 2022

    Free access



    Research on identification method for road accident black spots with ordinal clustering method

    Haifeng Jiang, / Changcheng Li, / Liande Zhong, et al. | IEEE | 2011