To estimate traffic status on an urban road accurately and determine the appropriate traffic-status evaluation interval, this research introduces a method based on the theory of set-pair analysis, and takes the number of vehicles passing the segment continuously as time interval of evaluation. First, to improve the operating efficiency of the model, based on the summary and analysis of the current research status, time interval of evaluation could be obtained according to the number of vehicles passing and the instantaneous speed is taken as a single index. Second, according to the principle of set-pair analysis, set pair H (A, B) is formed by sets A (measured data) and B (standard of indices). A traffic-status evaluation model with a five-element coefficient is established from the perspectives of identity, difference, and reverse. Finally, to verify the validity of the model, we take the measured data of the eastern segments of the South Second Ring Road in Xi’an City as an example and use the fuzzy-evaluation and set-pair analysis methods to distinguish the traffic-status grade of this segment of roads. Results prove the superiority of our method. The evaluation results of the two methods are basically the same, but the traffic-condition evaluation method based on set-pair analysis theory is more sensitive to the change in speed. When evaluating road-traffic conditions, a smaller time interval means higher sensitivity of traffic conditions to changes in speed. When the evaluation time interval is less than 1 min, the result of traffic-status evaluation is no longer affected by the time interval.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Analysis on Road Traffic–Status Discrimination Results at Different Time Intervals


    Contributors:


    Publication date :

    2020-06-01


    Size :

    92020-01-01 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown



    Road traffic status discrimination method based on data fusion of multiple floating vehicles

    Huang, Yanguo / Zuo, Kefei / Yang, Renzheng et al. | SPIE | 2023


    Traffic accident discrimination method of intelligent vehicle road system

    ZHANG WEIDONG / CHEN SHUKANG / QIN SHANXING et al. | European Patent Office | 2023

    Free access

    VEHICULAR COMMUNICATION OF ROAD TRAFFIC STATUS

    YU LING / VAN PHAN VINH / KESKITALO ILKKA ANTERO | European Patent Office | 2017

    Free access

    Road traffic accident black spot discrimination method based on space-time combination dimension

    CHEN CHUN / WANG CHENYU / ZHANG DAOWEN et al. | European Patent Office | 2023

    Free access

    Vehicular Communication of Road Traffic Status

    YU LING / VAN PHAN VINH / KESKITALO LLKKA ANTERO | European Patent Office | 2021

    Free access