This paper introduces a centralized approach for fuel-efficient urban platooning by leveraging real-time Vehicle-to-Everything (V2X) communication and Signal Phase and Timing (SPaT) data. A nonlinear Model Predictive Control (MPC) algorithm optimizes the trajectories of platoon leader vehicles, employing an asymmetric cost function to minimize fuel-intensive acceleration. Following vehicles utilize a gap-and velocity-based control strategy, complemented by dynamic platoon splitting logic communicated through Platoon Control Messages (PCM) and Platoon Awareness Messages (PAM). Simulation results obtained from the CARLA environment demonstrate substantial fuel savings of up to 41.2 %, along with smoother traffic flows, fewer vehicle stops, and improved intersection throughput.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Centralized Decision-Making for Platooning By Using SPaT-Driven Reference Speeds


    Beteiligte:
    Yazgan, Melih (Autor:in) / Tatar, Suleyman (Autor:in) / Zollner, J. Marius (Autor:in)


    Erscheinungsdatum :

    22.06.2025


    Format / Umfang :

    2044260 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Fuel-Optimal Centralized Coordination of Truck Platooning Based on Shortest Paths

    van de Hoef, Sebastian / Johansson, Karl H. / Dimarogonas, Dimos V. | ArXiv | 2015

    Freier Zugriff




    Centralized Prediction and Planning for Improving Lane Platooning and Intersection Vehicle Behavior

    RAVELLA SIVA BHARGAV / KUMAR AMIT / HOU QIQIANG | Europäisches Patentamt | 2025

    Freier Zugriff