Adaptive Heterogeneous V2X Communication for Cooperative Vehicular Maneuvering

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.