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

IF 8.8 1区 工程技术 Q1 ECONOMICS Transportation Research Part E-Logistics and Transportation Review Pub Date : 2025-03-01 Epub Date: 2025-01-20 DOI:10.1016/j.tre.2025.103965
Xiangdong Chen, Hao Guan, Qiang Meng
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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.
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联网及自动驾驶巴士及私家车共用专用车道:多绿波信号控制方案
在实施联网和自动驾驶汽车(CAV)技术的初始阶段,预计在可预见的未来,人类驾驶汽车(hv)和自动驾驶汽车(CAV)将共存。虽然自动驾驶汽车专用车道被认为是提高混合交通场景下交通安全和效率的有效解决方案,但它面临着道路资源浪费的挑战,特别是在自动驾驶汽车普及率较低的情况下。为此,本研究提出了网联和自动驾驶汽车与专用汽车共享CAV车道的新概念,并开发了一种动脉多绿波控制方法,以实现异构交通中的时空协调。二维交通协调的目的是在提高出租车服务水平的同时,提高整体交通效率。建立了一个三尺度框架来整合车道、交叉口和干道层面的控制问题。随着自动驾驶汽车车道的部署,研究了车道级的车道指定流量分配控制问题,设计了专用阶段为自动驾驶汽车提供独占路权,并与交叉口级的在线无冲突控制策略相结合。在此基础上,提出了针对主干道异构交通的多重绿波设计,充分利用CAV车道和普通车道的时空资源,进一步提高交通效率。为了解决大规模复杂结构优化的挑战,并实现实时性,提出了一种分层求解方法。将原问题分解为若干子问题,并采用近似方法放松子问题之间的边界约束,有效地求解子问题。在新加坡的一条动脉上进行了仿真实验,验证了所提方法的性能。结果表明,与其他经典协调策略相比,所提出的二维协调策略显著提高了交通效率,使出租车、私家车和hv的平均出行延误分别降低了至少20.4%、37.4%和21.4%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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.
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