互联自动驾驶车辆在混合自动驾驶与手动驾驶车辆切入和逃离变道的城市交通网络中的生态驾驶

IF 7.6 1区 工程技术 Q1 TRANSPORTATION SCIENCE & TECHNOLOGY
Yonghui Hu , Yibing Wang , Jingqiu Guo , Lihui Zhang , Qirong Lu , Hao Liu , Yongfu Li
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引用次数: 0

摘要

互联自动驾驶车辆(CAV)的城市生态驾驶旨在优化 CAV 的速度轨迹,以避免急加速/急减速和在信号灯控制的交叉路口停车,从而最大限度地减少 CAV 和手动驾驶车辆(MV)混合交通的能耗。现有的生态驾驶研究很少考虑 MV 的变道问题。除了交通流中通常发生的普通变道外,生态驾驶 CAV 往往会触发 MV 的特定类型变道,即从相邻车道切入到 CAV 前方,或从 CAV 后方逃逸到相邻车道。研究机动车的这种特殊变道与生态驾驶之间的相互作用具有重要意义。本文开发了一种通用的、可部署的 CAV 生态驾驶策略,该策略可同时处理横向干扰(如 MV 的切入和逃逸变道)和纵向干扰(如 MV 在前方移动和下游交叉路口的车辆队列),且无需假定 CAV 和 MV 之间存在通信。生态驾驶任务被表述为一个具有安全约束的最优控制问题,并在统一的滚动地平线框架下处理,每次切入变道都被视为对 CAV 新出现的纵向干扰。在 SUMO 的基础上,对城市多车道道路网络的生态驾驶性能进行了全面评估。结果表明,生态驾驶策略能够应对机动车的各种干扰,并有效实现生态驾驶的目的。在生态驾驶对机动车变道的影响方面,在CAV的市场渗透率(MPR)达到30%之前,切入变道和逃逸变道的次数一直在增加,然后不断减少,而普通变道的次数则随着市场渗透率的增加而单调下降。至于中型客车切入和驶离变道对生态驾驶的影响,尽管有中型客车变道的干扰,但所有 CAV 和中型客车的节能效益都随着 MPR 的增加而增加。类似的结果以前没有报道过。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Eco-driving of connected autonomous vehicles in urban traffic networks of mixed autonomy with cut-in and escape lane-changes of manually-driven vehicles
Urban eco-driving of connected autonomous vehicles (CAVs) aims to optimize CAVs’ speed trajectories to avoid sharp accelerations/decelerations and stops at signalized intersections for the minimization of energy consumption of mixed traffic of CAVs and manually-driven vehicles (MVs). Existing eco-driving studies rarely considered lane changes of MVs. Besides ordinary lane changes that usually take place in traffic flow, eco-driving CAVs tend to trigger specific types of lane changes of MVs, i.e. cut-in from adjacent lanes to the front of CAVs, or escape from behind CAVs to adjacent lanes. It is significant to investigate the interplay between such extraordinary lane changes of MVs and eco-driving endeavors. This paper has developed a generic and deployable eco-driving strategy for CAVs that can deal with both lateral disturbances (e.g. cut-in and escape lane changes of MVs) and longitudinal disturbances (e.g. MVs moving in front and vehicle queues at downstream intersections), without assuming communications between CAVs and MVs. The eco-driving task was formulated as an optimal control problem with safety constraints, and tackled under a unified rolling-horizon framework, with each cut-in lane change treated as a newly emerging longitudinal disturbance to CAVs. The eco-driving performance was thoroughly evaluated for an urban multilane road network based on SUMO. The eco-driving strategy was demonstrated capable of tackling various disturbances of MVs and effectively achieving the eco-driving purpose. For the eco-driving effects on lane changes of MVs, the numbers of cut-in and escape lane changes ascended until the market penetration rate (MPR) of CAVs reached 30% and then kept decreasing, while the number of ordinary lane changes dropped monotonically with the MPR increase. As to the impact of cut-in and escape lane changes of MVs on eco-driving, the energy saving benefits of all CAVs and MVs grew with the MPR increase, despite the disturbances of MV lane changes. Similar results were not reported before.
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来源期刊
CiteScore
15.80
自引率
12.00%
发文量
332
审稿时长
64 days
期刊介绍: Transportation Research: Part C (TR_C) is dedicated to showcasing high-quality, scholarly research that delves into the development, applications, and implications of transportation systems and emerging technologies. Our focus lies not solely on individual technologies, but rather on their broader implications for the planning, design, operation, control, maintenance, and rehabilitation of transportation systems, services, and components. In essence, the intellectual core of the journal revolves around the transportation aspect rather than the technology itself. We actively encourage the integration of quantitative methods from diverse fields such as operations research, control systems, complex networks, computer science, and artificial intelligence. Join us in exploring the intersection of transportation systems and emerging technologies to drive innovation and progress in the field.
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