To solve some problems caused by traffic congestion in dynamic path planning, a dynamic path planning method based on future travel route planning using online maps is proposed. Firstly, the future travel time between destinations is obtained through the application programming interface of online maps. Then, a function with the shortest driving path as the objective is established. An improved ant colony and simulated annealing hybrid algorithm are used to optimize the objective function and an avoidance coefficient of congestion is introduced to further optimize the results. Finally, through experimental analysis, the optimization method is found to achieve better results and is more efficient. In addition, the future travel time collection method proposed in this paper has good practical value


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    Titel :

    Research on dynamic path planning based on future travel route planning using online maps


    Beteiligte:
    Easa, Said (Herausgeber:in) / Wei, Wei (Herausgeber:in) / Li, Weiwei (Autor:in)

    Kongress:

    Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023) ; 2023 ; Hangzhou, China


    Erschienen in:

    Proc. SPIE ; 12790


    Erscheinungsdatum :

    07.09.2023





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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