This paper analyzed the causes of road traffic accident black spots and proposed an accident black spots Identification method based on ordinal clustering algorithm. Through divided the length of road with the incident frequency, the number wounding and deaths and the number of accidents in the spatial distribution for every kilometer, then the average accident indicators (accident frequency, wounding the number of accidents, deaths the number of accidents, etc.) of per kilometer of the road are statistic and sorted by this method, if the pre-incident indicators more than multiple of the identified index, the sections of the road was identified as accident black spots. This paper has also developed an orderly clustering accident black spots identified functional modules, and tested the results with accident-prone points on the Beijing road of the Jingjintang highway. Combining field investigation and observation data results proved the reasonable of this method.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

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


    Contributors:
    Haifeng Jiang, (author) / Changcheng Li, (author) / Liande Zhong, (author) / Han Feng, (author)


    Publication date :

    2011-06-01


    Size :

    295834 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    Development of Model for Road Crashes and Identification of Accident Spots

    Bhavsar, Rejoice / Amin, Amit / Zala, Laxmansinh | Springer Verlag | 2021


    Identifying accident black spots based on the accident spacing distribution

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

    Free access

    Identifying Expressway Accident Black Spots Based on the Secondary Division of Road Units

    Guohua Liang / Xujiao Sun / Yidan Zhang et al. | DOAJ | 2021

    Free access