In order to improve the use of roads and solve the huge pressure brought by the influx of a large number of private cars on the existing traffic and transportation network due to the development of the economy and the improvement of people's living standards1 , thus leading to more and more large and medium-sized city roads facing traffic congestion and increasingly serious status quo, to achieve the purpose of reducing traffic congestion, this paper uses an intelligent algorithm - this paper uses an intelligent algorithm - the seagull optimisation algorithm - to optimise the driving route of in-car navigation, so as to achieve the shortest possible vehicle driving time and driving path, reduce traffic pressure and improve the current situation of traffic congestion.


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    Titel :

    Path optimization research for in-vehicle navigation systems


    Beteiligte:
    Ghanizadeh, Ali Reza (Herausgeber:in) / Jia, Hongfei (Herausgeber:in) / Wu, Gang (Autor:in) / Ma, Junbo (Autor:in)

    Kongress:

    Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023) ; 2023 ; Dalian, China


    Erschienen in:

    Proc. SPIE ; 13064


    Erscheinungsdatum :

    2024-02-20





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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