Road black spot identification is an effective way to find potential hazardous road locations, which is very important for transportation safety. Multi-inducements, small samples and complicated aftermaths are 3 important characters for traffic accidents. Considering accidents' exact location, weather condition, peak/nonpeak hour, special events, drink-drive, casualties and economic losses, this paper proposes equivalent-multidimensional information assignment method for road black spot identification, based on multidimensional information assignment technology (MIAT) and improved accident-equivalent-number method (AENM). Advantages of this new method are validated by a simulation case, comparing with the analysis results by MIAT only and the traditional accident-number method (TANM).


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    Titel :

    Equivalent-Multidimensional Information Assignment Method for Road Black Spot Identification


    Beteiligte:
    Ma, Xiao (Autor:in) / Zhang, Zuo (Autor:in) / Li, Zhiheng (Autor:in) / Su, Yunkai (Autor:in)

    Kongress:

    First International Conference on Transportation Information and Safety (ICTIS) ; 2011 ; Wuhan, China


    Erschienen in:

    ICTIS 2011 ; 795-801


    Erscheinungsdatum :

    16.06.2011




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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