The deployment of Connected Vehicles (CVs) has made significant progress in recent times. CVs have expanded beyond the scope of sending self-information or updates solely about their immediate surroundings. With the introduction of new services in Release 2 they are now progressing towards cooperative perception and driving. Additionally, the standardization process for the Vulnerable Road User Awareness Message (VAM) has reached a stable version from the European Telecommunication Standardization Institute. Extensive testing for new services and technologies in the domain of vehicular communication is crucial but costly in real-life mass deployment. Hence, scientists use simulation platforms for more affordable testing. In this work we present a new lightweight dataset-based simulation framework (LiDaSim), providing an interface for real-world data recordings. We showcase the framework capabilities by integrating Release 2 services. We demonstrate that our simulator is especially valuable when deploying techniques or conducting measurements that necessitate a highly realistic movement of traffic participants. The results are compared with another established simulator, showing significant differences in terms of generation frequencies and triggering reasons for Cooperative Awareness Messages (CAMs) and VAMs. As a result, this divergence leads to a shift in the necessary channel requirements during the implementation.


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    Titel :

    LiDaSim: A Lightweight Dataset-Based Simulation Framework for Vehicular Ad Hoc Networks


    Beteiligte:


    Erscheinungsdatum :

    2023-10-10


    Format / Umfang :

    1912138 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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