Abstract New technological advances have made possible the recent development of automated and connected vehicles. However, there are still challenges to overcome. For example, maintaining constant values for speed and distance between vehicles when the connection has been interrupted. In this line of research, this paper presents the extension of the 3DCoAutosim simulation platform to integrate platooning by means of a dynamic-flexible model that we validate by creating use cases on traffic efficiency. We measured the effects of dynamic-flexible and consistent platooning on battery energy consumption taking into account real-world trips data, collected in Upper Austria. For this purpose we used three electric vans with an autonomous leader, a first semi-autonomous follower with driver and a last autonomous follower. The results showed that the proposed model is able to demonstrate a decrease of the total battery energy consumption when driving in platoon mode.

    Highlights Connected semi-autonomous vehicles in platoon decrease battery energy consumption. Dynamic-flexible platooning spontaneously reforms the platoon after a fragment. Adaptive algorithms with the surrounding traffic increase the efficiency of transport. Validated metamodel-based simulations represent real world systems.


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    Titel :

    Metamodel-based simulation to assess platooning on battery energy consumption


    Beteiligte:


    Erscheinungsdatum :

    2022-05-30




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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