The future ITS-based road network can provide a seamless and integrated transportation. The network makes it more complicated for the cars to decide for an optimal choice or K-shortest paths under the autonomous driving situation. The paper presents the description and optimization procedure of a K-shortest path algorithm for autonomous driving in a road network system. Computation analysis was conducted to determine the effectiveness and efficiency of the algorithms and to validate the results. The implementation of such a routing algorithm could enhance the utilization of the autonomous driving system in future.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    K-Shortest Routing For Autonomous Driving


    Beteiligte:
    Xie, Feng (Autor:in) / Xie, Yufei (Autor:in) / Lam, Soi Hoi (Autor:in)


    Erscheinungsdatum :

    01.10.2022


    Format / Umfang :

    473952 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Genetic Algorithms for Shortest Path Routing of Autonomous Gliders

    Kahveci, N. / Ioannou, P. / American Institute of Aeronautics and Astronautics | British Library Conference Proceedings | 2008


    Genetic Algorithms for Shortest Path Routing of Autonomous Gliders

    Kahveci, Nazli / Ioannou, Petros | AIAA | 2008


    VEHICLE ROUTING OPTIMIZED FOR AUTONOMOUS DRIVING

    Samara, Adam / Rempe, Felix / Göttlieh, Simone | British Library Conference Proceedings | 2021


    Vehicle Routing Optimized for Autonomous Driving

    Samara, Adam / Rempe, Felix / Gottlieh, Simone | IEEE | 2021