title: Vehicular Communication for Cooperative Driving: Relevance-Aware Data Dissemination Strategies for Adaptive Cooperative Driving
Creators: name: Bischoff, Daniel
Publisher: name: UNSPECIFIED
Year: 2022

description: According to the EuroNCAP Roadmap 2025, vehicular communication is expected to play a decisive role in increasing traffic safety and efficiency. Vehicles can improve their environmental awareness, exchange driving intentions, and cooperate with other vehicles in their communication range. That way, vehicular communication enables the cooperative coordination of driving maneuvers to prevent traffic jams, increase traffic efficiency, and maintain safety on urban roads and highways, particularly in congested scenarios with high vehicle density. Cooperative driving requires high communication quality to coordinate maneuvers safely and efficiently. Providing high communication quality in congested vehicular networks, specifically for vehicles coordinating a cooperative maneuver, poses a significant research challenge. Moreover, the context of cooperative driving continuously changes due to high vehicle mobility, which further complicates the provision of high communication quality for vehicles coordinating a cooperative maneuver. Prioritizing information in congested vehicular networks improves the communication quality for vehicles coordinating a cooperative maneuver. If information prioritization is insufficient to provide high communication quality in heavily congested vehicular networks, the cooperative driving application must adapt to the available communication quality for maintaining traffic safety. The joint consideration of information prioritization from the application and congestion control from the network perspective to provide high communication quality for cooperative driving remains an open research challenge. As our first contribution, we assess communication quality and information relevance for cooperative driving. Based on this, we present a relevance-aware resource allocation approach and an adaptive data dissemination strategy using heterogeneous vehicular access technologies to improve the communication quality in congested networks for vehicles coordinating a cooperative maneuver as our second contribution. With our third contribution, we propose communication-aware cooperative driving. In scenarios with impaired communication quality, our approach reduces traffic efficiency to maintain safety. Thus, our approach can respond to unexpected events to avoid accidents, even in scenarios with impaired communication quality. We use numerical analysis and our simulation framework CoDA.KOM with a prototypical implementation of the cooperative driving use cases left-turning at an intersection to evaluate our contributions. Our evaluation demonstrates that relevance-aware resource allocation prioritizes information of vehicles coordinating a cooperative maneuver in scenarios with high vehicle density. Moreover, our adaptive data dissemination strategy with heterogeneous vehicular access technologies provides high communication quality to vehicles coordinating a cooperative maneuver. Overall, we increase traffic efficiency and maintain safety for cooperative driving by adapting to the vehicular communication quality.