In VANETs, vehicle-to-vehicle communication is a challenge due to the fast topology changing, frequent disconnections, and highly variable traffic densities. This paper describes a Trajectory-based data Forwarding scheme with future Neighbor Prediction (TFNP) in autonomous driving vehicular environments. The most important characteristic of the environments is that the prediction for future position of vehicles could be sufficiently accurate. With the trajectory information of all autonomous vehicles, the future neighbors of each vehicle can be properly identified. The packet forwarding ability of the future neighbors is evaluated and forwarding sequences are thus constructed. When an autonomous vehicle needs to send data, it will transmit packets based on the constructed forwarding path. The simulation results demonstrate the effectiveness and efficiency of the developed scheme in the autonomous driving vehicular environments.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Trajectory-based data Forwarding with future Neighbor Prediction in autonomous driving vehicular environments


    Beteiligte:
    Chang, Chi-En (Autor:in) / Lin, Yu-Yuan (Autor:in) / Ssu, Kuo-Feng (Autor:in)


    Erscheinungsdatum :

    01.10.2015


    Format / Umfang :

    335532 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Trajectory-Based Failure Prediction for Autonomous Driving

    Kuhn, Christopher B. / Hofbauer, Markus / Petrovic, Goran et al. | British Library Conference Proceedings | 2021


    Trajectory-Based Failure Prediction for Autonomous Driving

    Kuhn, Christopher B. / Hofbauer, Markus / Petrovic, Goran et al. | IEEE | 2021


    Intention-Driven Trajectory Prediction for Autonomous Driving

    Fan, Shiwei / Li, Xiangxu / Li, Fei | IEEE | 2021


    INTENTION-DRIVEN TRAJECTORY PREDICTION FOR AUTONOMOUS DRIVING

    Fan, Shiwei / Li, Xiangxu / Li, Fei | British Library Conference Proceedings | 2021