An open question in platooning is the appropriate selection of the inter-vehicle distance: shorter distances reduce energy, but increase network demands, which have to be satisfied to guarantee safety. Even once determined appropriately, inter-vehicle distances need to adapt for varying traffic scenarios and heterogeneous platoons. Therefore, we introduce a new architecture that puts dynamic distances into effect and manages platoons in a decentralized way to maintain safety and robustness by considering network reliability, environmental, and vehicular constraints. Smooth trajectory planning allows energy efficient and comfortable adaptation of distances between vehicles. The presented architecture is tested using Omnet++ and SUMO in a highway entry and an emergency braking scenario.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Decentralized Dynamic Platooning Architecture with V2V Communication Tested in Omnet++


    Beteiligte:
    Renzler, Tobias (Autor:in) / Stolz, Michael (Autor:in) / Watzenig, Daniel (Autor:in)


    Erscheinungsdatum :

    01.11.2019


    Format / Umfang :

    682118 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Adaptive Decentralized Emergent Behavior Based Autonomous Platooning

    Sreenivasamurthy, Shesha / Obraczka, Katia | IEEE | 2024


    Truck Platooning: Connectivity Enabled, Grounded in Safety, Properly Tested

    Switkes, Joshua P. / McLane, Rod / Laws, Shad et al. | TIBKAT | 2019


    Truck Platooning: Connectivity Enabled, Grounded in Safety, Properly Tested

    Switkes, Joshua P. / McLane, Rod / Laws, Shad et al. | Springer Verlag | 2019


    Towards Biologically Inspired Decentralized Platooning for Autonomous Vehicles

    Sreenivasamurthy, Shesha / Obraczka, Katia | IEEE | 2021


    Heterogeneous Vehicular Platooning with Stable Decentralized Linear Feedback Control

    Zakerimanesh, Amir / Qiu, Tony / Tavakoli, Mahdi | IEEE | 2021