In order to analyze the traffic flow operation characteristics of the bottleneck region of the highway non-predictive events, the non-predictive events are defined and classified, the nature of the non-predictive events is the reduction of the number of passable lanes of the highway, and according to the degree of impact of the events, the bottleneck region of the highway non-predictive events is further divided. Using real traffic data and Python for data processing, analyze the traffic flow operation characteristics of the highway non-predictive event region, the study shows that, in the upstream of the bottleneck region formed by the non-predictive event, due to the reduction of the number of lanes, the vehicle lane-changing behavior is increased, the interference between the vehicles is intensified, and the speed of traffic flow traveling is reduced and the density is increased.


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    Titel :

    Characterization of highway traffic flow under the influence of non-predictive events


    Beteiligte:
    Wu, Jinsong (Herausgeber:in) / Ma'aram, Azanizawati (Herausgeber:in) / Liu, Jia (Autor:in) / Song, Xiang-hui (Autor:in) / Yang, Xiao-lei (Autor:in)

    Kongress:

    Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024) ; 2024 ; Guilin, China


    Erschienen in:

    Proc. SPIE ; 13251 ; 132516M


    Erscheinungsdatum :

    28.08.2024





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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