Based on the traditional traffic assignment model, this paper adds the condition of road speed limit, and observes the change of user equilibrium model after adding road speed limit from the perspective of mathematical model analysis. Considering that the traditional user equilibrium model only focuses on the travel time, this paper constructs a traveler's negative utility function, which includes four factors: traveler's travel time, driving safety, overspeed penalty and fuel consumption rate. This function is used to replace the travel time function in the traditional user equilibrium model. The goal of the traffic manager is to minimize the overall pollution emissions of the road network, which is inconsistent with the goal of travelers. Therefore, this paper uses the bi level programming model to build an environment-friendly urban road speed limit design model. The goal of the upper level model is to minimize the total pollution emissions of the road network, which represents the goal of the traffic manager. The lower level model is the user equilibrium model after adding the negative utility function of individual travel, which represents the goal of travelers. Finally, this paper uses an actual case to calculate the model, which proves the feasibility of the model.


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    Titel :

    Research on Artificial Intelligence Information Traffic Optimization Method Based on Security Risk Assessment


    Beteiligte:
    Pu, Shaoxin (Autor:in)


    Erscheinungsdatum :

    06.01.2023


    Format / Umfang :

    411486 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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