Urban road traffic conditions identifying can discriminate the road conditions using quantitative data of road network. A new urban road traffic conditions identifying method based on cloud model was proposed according to the cloud model's feature that it can achieve the natural conversion from quantitative data to qualitative concept; it can convert from the data of traffic parameters to traffic state smoothly. When classifying the regional traffic state, first, the state of intersections and links are classified respectively, second, with weighted average the state of intersections and links, the regional traffic state was given. A simulation was proposed by software VISSIM finally. A comparative analysis showed positive and encouraging results.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Discriminant Method of Urban Road Traffic Conditions Based on Cloud Model


    Contributors:

    Conference:

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


    Published in:

    ICTIS 2011 ; 197-205


    Publication date :

    2011-06-16




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    Assessment of Urban Road Traffic Safety Based on Bayes Discriminant Analysis Method

    Wen, Chang Ping ;Tian, Qing Qing | Trans Tech Publications | 2013


    Urban road traffic information monitoring system based on cloud computing

    YU HUIQIONG / WU KAIJUN / TAO XIAOMIAO | European Patent Office | 2022

    Free access


    Evaluation of Urban Road Traffic Conditions Based on Traveler Satisfaction

    Yu, Jingfei / Wang, Li / Gong, Xiuling | ASCE | 2013


    An urban road traffic emission model

    Bendtsen,H. / Reiff,L. / Traffic Safety and Environment Dep.,DK | Automotive engineering | 1998