In order to construct signalized intersections which are more in line with the actual traffic operation mechanism we propose a new traffic flow model for intersections which is a hybrid between the classical cellular automata and the other microscopic traffic models, using continuous cellular automata to analyze the influence of driver heterogeneity and split. This continuity allows us embed a multiple car following model to simulate different car-following behaviors. The experimental results show that our model is able to reproduce the typical traffic flow phenomena with a variety of effects due to the heterogeneity within traffic stream.


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    Titel :

    Continuous Cellular Automata Model for Signalized Intersection Based on Driver Heterogeneity


    Beteiligte:
    Zhang, Jianhua (Autor:in) / Lei, Cailin (Autor:in)

    Kongress:

    20th COTA International Conference of Transportation Professionals ; 2020 ; Xi’an, China (Conference Cancelled)


    Erschienen in:

    CICTP 2020 ; 185-197


    Erscheinungsdatum :

    09.12.2020




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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