Recently, autopilot-like vehicles have become more pervasive. To maintain inter-vehicle distance stably, Cooperative Adaptive Cruise Control (CACC) is then proposed to make each autonomous vehicle exchange its dynamic state with neighboring vehicles via vehicle-to-vehicle (V2V) communication. However, longitudinal platooning via CACC systems alone is not enough to improve traffic throughput since each vehicle has its own desired speed and only considers itself to optimize its traveling. Therefore, we develop a novel framework MANA to determine the suitable platoon-merge maneuver, lane-change maneuver, and space-reserve maneuver. Extensive simulation results manifest that MANA can avoid collisions effectively, converge fast, and save fuel consumption and CO2 emissions by 24% and 20%.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Efficient Multi-Maneuver Platooning Framework for Autonomous Vehicles on Multi-Lane Highways


    Contributors:


    Publication date :

    2021-09-01


    Size :

    1683379 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    FLEET OF AUTONOMOUS VEHICLES WITH LANE POSITIONING AND PLATOONING BEHAVIORS

    FERGUSON DAVID IAN / ZHU JIAJUN / SMITH RUSSELL LEIGH | European Patent Office | 2021

    Free access

    Fleet of autonomous vehicles with lane positioning and platooning behaviors

    FERGUSON DAVID / ZHU JIAJUN / SMITH RUSSELL | European Patent Office | 2021

    Free access

    FLEET OF AUTONOMOUS VEHICLES WITH LANE POSITIONING AND PLATOONING BEHAVIORS

    FERGUSON DAVID / ZHU JIAJUN / SMITH RUSSELL | European Patent Office | 2019

    Free access


    Impacts of Platooning of Connected Automated Vehicles on Highways

    Martinez-Diaz, Margarita / Al-Haddad, Christelle / Soriguera, Francesc et al. | IEEE | 2024

    Free access