Shared use of dedicated lanes by connected and automated buses and private vehicles: A multi-green-wave signal control scheme

Xiangdong Chen, Hao Guan, Qiang Meng
{"title":"Shared use of dedicated lanes by connected and automated buses and private vehicles: A multi-green-wave signal control scheme","authors":"Xiangdong Chen, Hao Guan, Qiang Meng","doi":"10.1016/j.tre.2025.103965","DOIUrl":null,"url":null,"abstract":"In the initial phase of implementing connected and automated vehicle (CAV) technology, the coexistence of human-driven vehicles (HVs) and CAVs is anticipated for the foreseeable future. While dedicated CAV lane is recognized as an effective solution to enhance traffic safety and efficiency in mixed traffic scenarios, it faces the challenges of road resource wastage, especially at low CAV penetration rates. Therefore, this study proposes a novel concept of a shared CAV lane for both connected and automated buses (CABs) and private CAVs, and develops a multi-green-wave control method for arterials to achieve space–time coordination in heterogeneous traffic. The two-dimensional traffic coordination aims to concurrently improve the service level of CABs and enhance overall traffic efficiency. A three-scale framework is established to integrate the control problems at the lane, intersection, and arterial levels. With the deployment of CAV lanes, lane-specified flow distribution control problem is investigated at the lane level, and a dedicated phase is designed to provide exclusive right-of-ways for CAVs, and jointed with an online conflict-free control strategy at the intersection level. Building upon this, a multiple green-wave design is developed for heterogeneous traffic at arterials, to take full exploit of the space–time resources of both CAV lanes and regular lanes and further improve traffic efficiency. To address the challenges of large-scale and complicated-structure optimization and enable real-time implementation, a hierarchical solution method is proposed. The original problem is decomposed into sub-problems, which can be efficiently solved with an approximation approach to relax the bounding constraints among them. Simulation experiments conducted on an arterial in Singapore validate the performance of the proposed methods. The results demonstrate that the proposed two-dimensional coordination strategy significantly improves traffic efficiency compared to other classic counterpart strategies, reducing the average travel delay for CABs, private CAVs, and HVs by at least 20.4%, 37.4%, and 21.4%, respectively.","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"63 1","pages":""},"PeriodicalIF":8.3000,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part E-Logistics and Transportation Review","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1016/j.tre.2025.103965","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0

Abstract

In the initial phase of implementing connected and automated vehicle (CAV) technology, the coexistence of human-driven vehicles (HVs) and CAVs is anticipated for the foreseeable future. While dedicated CAV lane is recognized as an effective solution to enhance traffic safety and efficiency in mixed traffic scenarios, it faces the challenges of road resource wastage, especially at low CAV penetration rates. Therefore, this study proposes a novel concept of a shared CAV lane for both connected and automated buses (CABs) and private CAVs, and develops a multi-green-wave control method for arterials to achieve space–time coordination in heterogeneous traffic. The two-dimensional traffic coordination aims to concurrently improve the service level of CABs and enhance overall traffic efficiency. A three-scale framework is established to integrate the control problems at the lane, intersection, and arterial levels. With the deployment of CAV lanes, lane-specified flow distribution control problem is investigated at the lane level, and a dedicated phase is designed to provide exclusive right-of-ways for CAVs, and jointed with an online conflict-free control strategy at the intersection level. Building upon this, a multiple green-wave design is developed for heterogeneous traffic at arterials, to take full exploit of the space–time resources of both CAV lanes and regular lanes and further improve traffic efficiency. To address the challenges of large-scale and complicated-structure optimization and enable real-time implementation, a hierarchical solution method is proposed. The original problem is decomposed into sub-problems, which can be efficiently solved with an approximation approach to relax the bounding constraints among them. Simulation experiments conducted on an arterial in Singapore validate the performance of the proposed methods. The results demonstrate that the proposed two-dimensional coordination strategy significantly improves traffic efficiency compared to other classic counterpart strategies, reducing the average travel delay for CABs, private CAVs, and HVs by at least 20.4%, 37.4%, and 21.4%, respectively.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
16.20
自引率
16.00%
发文量
285
审稿时长
62 days
期刊介绍: Transportation Research Part E: Logistics and Transportation Review is a reputable journal that publishes high-quality articles covering a wide range of topics in the field of logistics and transportation research. The journal welcomes submissions on various subjects, including transport economics, transport infrastructure and investment appraisal, evaluation of public policies related to transportation, empirical and analytical studies of logistics management practices and performance, logistics and operations models, and logistics and supply chain management. Part E aims to provide informative and well-researched articles that contribute to the understanding and advancement of the field. The content of the journal is complementary to other prestigious journals in transportation research, such as Transportation Research Part A: Policy and Practice, Part B: Methodological, Part C: Emerging Technologies, Part D: Transport and Environment, and Part F: Traffic Psychology and Behaviour. Together, these journals form a comprehensive and cohesive reference for current research in transportation science.
期刊最新文献
Multi-agent deep reinforcement learning-based truck-drone collaborative routing with dynamic emergency response Enhancing resilience in supply chains through resource orchestration and AI assimilation: An empirical exploration An interpretable machine learning framework for enhancing road transportation safety Shared use of dedicated lanes by connected and automated buses and private vehicles: A multi-green-wave signal control scheme Is operational flexibility a viable strategy during major supply chain disruptions? Evidence from the COVID-19 pandemic
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1