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Adaptive Heterogeneous V2X Communication for Cooperative Vehicular Maneuvering

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Part of the Communications in Computer and Information Science book series (CCIS,volume 1475)

Abstract

Cooperative Vehicular Maneuvering (CVM) can increase traffic efficiency and safety by enabling vehicles to organize and perform concerted driving maneuvers cooperatively. However, since Vehicle-to-Everything (V2X) communication, which constitutes a key enabler for CVM, decreases with increasing distances between cooperating vehicles, only poor CVM performance and therewith only poor traffic efficiency and safety improvements can be achieved at vast distances and under heavy traffic load. In the work at hand, we extend our CVM approach and propose a novel adaptive heterogeneous V2X communication approach exploiting benefits from cellular and ad-hoc communication in large-scale scenarios. We show that our proposed CVM approach is able to avoid traffic jams under high traffic load. With our proposed communication approach, we significantly improve the Quality of Communication (QoC) in terms of Age of Information (AoI) by \(15\%\) and the CVM performance in terms of average velocity by \(3.2\%\) compared to the ad-hoc approach.

Keywords

  • V2X communication
  • Cooperative vehicular maneuvering
  • MCM
  • Quality of communication
  • Cooperation cost
  • LTE

The German Federal Ministry for Economic Affairs and Energy (BMWi) supports this research within the project IMAGinE - Intelligente Manöver Automatisierung - kooperative Gefahrenvermeidung in Echtzeit (Intelligent maneuver automation - cooperative hazard avoidance in real time).

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Fig. 1.

Figure adapted from [16].

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Correspondence to Daniel Bischoff , Florian A. Schiegg , Tobias Meuser , Dieter Schuller or Ralf Steinmetz .

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Bischoff, D., Schiegg, F.A., Meuser, T., Schuller, D., Steinmetz, R. (2021). Adaptive Heterogeneous V2X Communication for Cooperative Vehicular Maneuvering. In: Klein, C., Helfert, M., Berns, K., Gusikhin, O. (eds) Smart Cities, Green Technologies, and Intelligent Transport Systems. SMARTGREENS VEHITS 2020 2020. Communications in Computer and Information Science, vol 1475. Springer, Cham. https://doi.org/10.1007/978-3-030-89170-1_12

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  • DOI: https://doi.org/10.1007/978-3-030-89170-1_12

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