论文标题
连接和自动化车辆的轨迹规划：巡航，车道更换和排队
Trajectory Planning for Connected and Automated Vehicles: Cruising, Lane Changing, and Platooning
论文作者
论文摘要
自主性和连通性被认为是提高运输系统中的安全性，机动性，燃料和时间消耗的最有希望的技术之一。连接和自动化车辆（CAV）的一些燃油效率好处可以通过排实现。排是一辆虚拟的骑士火车，沿着排头一起旅行，它们之间的差距很小。车辆还可以通过更换车道来减少旅行时间。在本文中，我们设计了一个最佳的基于控制的轨迹计划模型，该模型可以为主体车辆提供安全有效的轨迹，并可以结合增加和车道。我们将此轨迹计划模型嵌入模拟框架中，以量化其效率优势，因为它与燃料消耗和旅行时间有关，并在动态的交通流中。此外，我们进行了广泛的数值实验，以调查主题车辆上游的车辆是否也可能会遇到二手燃油效率优势的情况。
Autonomy and connectivity are considered among the most promising technologies to improve safety, mobility, fuel and time consumption in transportation systems. Some of the fuel efficiency benefits of connected and automated vehicles (CAVs) can be realized through platooning. A platoon is a virtual train of CAVs that travel together following the platoon head, with small gaps between them. Vehicles may also reduce travel time by lane changing. In this paper, we devise an optimal control-based trajectory planning model that can provide safe and efficient trajectories for the subject vehicle and can incorporate platooning and lane changing. We embed this trajectory planning model in a simulation framework to quantify its efficiency benefits as it relates to fuel consumption and travel time, in a dynamic traffic stream. Furthermore, we perform extensive numerical experiments to investigate whether, and the circumstances under which, the vehicles in upstream of the subject vehicle may also experience second-hand fuel efficiency benefits.
