Merging control strategies of connected and autonomous vehicles at freeway on-ramps: A comprehensive review

Jie Zhu;Said Easa;Kun Gao
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引用次数: 32

Abstract

Purpose - On-ramp merging areas are typical bottlenecks in the freeway network since merging on-ramp vehicles may cause intensive disturbances on the mainline traffic flow and lead to various negative impacts on traffic efficiency and safety. The connected and autonomous vehicles (CAVs), with their capabilities of real-time communication and precise motion control, hold a great potential to facilitate ramp merging operation through enhanced coordination strategies. This paper aims to present a comprehensive review of the existing ramp merging strategies leveraging CAVs, focusing on the latest trends and developments in the research field. Design/methodology/approach - The review comprehensively covers 44 papers recently published in leading transportation journals. Based on the application context, control strategies are categorized into three categories: merging into sing-lane freeways with total CAVs, merging into singlane freeways with mixed traffic flows and merging into multilane freeways. Findings - Relevant literature is reviewed regarding the required technologies, control decision level, applied methods and impacts on traffic performance. More importantly, the authors identify the existing research gaps and provide insightful discussions on the potential and promising directions for future research based on the review, which facilitates further advancement in this research topic. Originality/value - Many strategies based on the communication and automation capabilities of CAVs have been developed over the past decades, devoted to facilitating the merging/lane-changing maneuvers at freeway on-ramps. Despite the significant progress made, an up-to-date review covering these latest developments is missing to the authors' best knowledge. This paper conducts a thorough review of the cooperation/coordination strategies that facilitate freeway on-ramp merging using CAVs, focusing on the latest developments in this field. Based on the review, the authors identify the existing research gaps in CAV ramp merging and discuss the potential and promising future research directions to address the gaps.
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高速公路匝道连接车辆和自动驾驶车辆的合并控制策略:综述
目的-入口匝道合流区是高速公路网中的典型瓶颈,因为入口匝道车辆的合流可能会对主线交通流造成严重干扰,并对交通效率和安全产生各种负面影响。联网自动驾驶汽车(CAV)具有实时通信和精确运动控制的能力,在通过加强协调策略促进匝道合流运营方面具有巨大潜力。本文旨在全面回顾利用CAV的现有匝道合并策略,重点关注研究领域的最新趋势和发展。设计/方法/方法-该综述全面涵盖了最近在主要交通期刊上发表的44篇论文。根据应用背景,控制策略可分为三类:合并为总CAV的单车道高速公路、合并为混合交通流的单车道公路和合并为多车道高速公路。调查结果-审查了有关所需技术、控制决策水平、应用方法和对交通性能的影响的相关文献。更重要的是,作者确定了现有的研究差距,并在综述的基础上对未来研究的潜在和有前景的方向进行了深入的讨论,这有助于该研究主题的进一步发展。独创性/价值-在过去的几十年里,基于CAV的通信和自动化能力开发了许多策略,致力于促进高速公路入口匝道的并线/变道操作。尽管取得了重大进展,但据作者所知,还没有一篇涵盖这些最新进展的最新综述。本文对使用CAV促进高速公路入口匝道合并的合作/协调策略进行了全面审查,重点关注该领域的最新发展。在综述的基础上,作者确定了CAV匝道合并中现有的研究空白,并讨论了解决这些空白的潜在和有前景的未来研究方向。
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Front Cover Contents Advancements and Prospects in Multisensor Fusion for Autonomous Driving Extracting Networkwide Road Segment Location, Direction, and Turning Movement Rules From Global Positioning System Vehicle Trajectory Data for Macrosimulation Decision Making and Control of Autonomous Vehicles Under the Condition of Front Vehicle Sideslip
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