The rapid increase in the number of motor vehicles has intensified environmental pollution, and if the actual traffic information is used to carry out the route planning of the lowest emission for motor vehicles and achieve environmental protection, which can effectively improve the above problems. Based on a large number of actual vehicle experimental data, this paper establishes a vehicle emission measurement model. Combining the A* algorithm with the vehicle emission measurement model, this paper completes the path planning simulation analysis based on the lowest emission target. The results show that due to the actual traffic environment of the planned route and the congestion at the intersection, there is a big difference in the exhaust emissions of vehicles with different travel paths between the same starting and ending points. The vehicle emission minimum route planning model constructed in the paper can effectively reduce vehicle exhaust emissions during the trip, and provides new ideas for improving environmental pollution.


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    Titel :

    An Environmental Travel Path Planning Method of Light Vehicle Based on Real-Time Road Condition


    Beteiligte:
    Guo, Dong (Autor:in) / Hao, Yujiao (Autor:in) / Li, Minghui (Autor:in) / Yan, Wei (Autor:in) / E, Wenjuan (Autor:in) / Chen, Jing (Autor:in)

    Kongress:

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


    Erschienen in:

    CICTP 2020 ; 2353-2361


    Erscheinungsdatum :

    2020-12-09




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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