互联自动驾驶汽车真的能提高现实场景中的混合交通效率吗？
Can Connected Autonomous Vehicles really improve mixed traffic efficiency in realistic scenarios?
摘要：
联网的自动驾驶车辆（CAV）可以利用周围CAV的信息来补充来自自身传感器的信息，以进行决策和控制。这有可能提高交通效率。然而，由于人类驾驶行为的不确定性，例如较大的反应时间，感知错误等，CAV在其驾驶中面临额外的挑战，当它们在混合交通环境中与人类驾驶车辆（HDV）交互时，虽然许多研究已经调查了CAV在不同渗透率下对交通安全和效率的影响，所有这些都假设了完美的通信或具有不完美通信的非常简单的场景。在实践中，通信延迟和数据包丢失的存在意味着CAV可能只从周围车辆接收到部分信息，这可能对其性能产生不利影响。本文研究了在现实的交通和道路网络的情况下（即不完善的通信和大规模的道路网络）的CAV对交通效率的影响。我们分析了不可靠的通信链路对CAV在混合交通中运行的影响，并评估了在大规模道路网络（爱尔兰的M50高速公路）上拥挤交通场景中的交通性能。结果表明，CAV可以显着提高交通效率在拥挤的交通场景中，在高渗透率。改进的规模取决于通信可靠性，与完美通信相比，70%的丢包率导致流量拥塞分别增加28.7%和11.88%，渗透率分别为40%和70%。
英文摘要：
Connected autonomous vehicles (CAVs) can supplement the information from their own sensors with information from surrounding CAVs for decision making and control. This has the potential to improve traffic efficiency. CAVs face additional challenges in their driving, however, when they interact with human-driven vehicles (HDVs) in mixed-traffic environments due to the uncertainty in human's driving behavior e.g. larger reaction times, perception errors, etc. While a lot of research has investigated the impact of CAVs on traffic safety and efficiency at different penetration rates, all have assumed either perfect communication or very simple scenarios with imperfect communication. In practice, the presence of communication delays and packet losses means that CAVs might receive only partial information from surrounding vehicles, and this can have detrimental effects on their performance. This paper investigates the impact of CAVs on traffic efficiency in realistic communication and road network scenarios (i.e. imperfect communication and large-scale road network). We analyze the effect of unreliable communication links on CAVs operation in mixed traffic with various penetration rates and evaluate traffic performance in congested traffic scenarios on a large-scale road network (the M50 motorway, in Ireland). Results show that CAVs can significantly improve traffic efficiency in congested traffic scenarios at high penetration rates. The scale of the improvement depends on communication reliability, with a packet drop rate of 70% leading to an increase in traffic congestion by 28.7% and 11.88% at 40% and 70% penetration rates respectively compared to perfect communication.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
