From lane-less to lane-free: Implications in the era of automated vehicles

IF 7.6 1区 工程技术 Q1 TRANSPORTATION SCIENCE & TECHNOLOGY
Abebe Dress Beza , Zhuopeng Xie , Mohsen Ramezani , David Levinson
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引用次数: 0

Abstract

Advances in autonomous vehicle (AV) technology and research into connected autonomous vehicle (CAV) technology have renewed interest in lane-free traffic. The present study reviews a large body of scientific literature to explore the potential impacts of lane-less and lane-free traffic streams and examines the control strategies and trends of lane-free traffic through the lens of future transport. The findings indicate that lane-free traffic has the potential to positively impact road traffic, including an increase in traffic performance and a rise in road infrastructure capacity due to efficient space use and the seepage behavior of small-sized vehicles (e.g., motorized two-wheelers) in mixed traffic scenarios. Furthermore, studies on lane-less traffic with human-driven vehicles can provide essential insights into the potential behavior of lane-free AV traffic and how AVs might be programmed and designed to operate safely and effectively in complex settings. For instance, a lane-free traffic setting could be a better option for improving traffic flow when AVs vary in size, and seepage behavior can be incorporated into the driving characteristics of AVs.
从无车道到无车道:自动驾驶汽车时代的影响
自动驾驶汽车(AV)技术的进步和对互联自动驾驶汽车(CAV)技术的研究再次激发了人们对无车道交通的兴趣。本研究回顾了大量科学文献,探讨了无车道和无车道交通流的潜在影响,并从未来交通的角度研究了无车道交通的控制策略和趋势。研究结果表明,无车道交通有可能对道路交通产生积极影响,包括在混合交通情况下,由于空间的有效利用和小型车辆(如机动两轮车)的渗水行为,交通性能会得到提高,道路基础设施的容量也会增加。此外,对有人类驾驶车辆的无车道交通的研究,可以为无车道的自动驾驶汽车交通的潜在行为,以及如何对自动驾驶汽车进行编程和设计,使其在复杂的环境中安全有效地运行,提供重要的见解。例如,当自动驾驶汽车大小不一时,无车道交通设置可能是改善交通流量的更好选择,而渗水行为也可纳入自动驾驶汽车的驾驶特性中。
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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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