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Shared use of dedicated lanes by connected and automated buses and private vehicles: A multi-green-wave signal control scheme
Transportation Research Part E: Logistics and Transportation Review ( IF 8.3 ) Pub Date : 2025-01-20 , DOI: 10.1016/j.tre.2025.103965
Xiangdong Chen, Hao Guan, Qiang Meng
Transportation Research Part E: Logistics and Transportation Review ( IF 8.3 ) Pub Date : 2025-01-20 , DOI: 10.1016/j.tre.2025.103965
Xiangdong Chen, Hao Guan, Qiang Meng
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.
中文翻译:
互联和自动驾驶公交车和私家车共享使用专用车道:多绿波信号控制方案
在实施互联和自动驾驶汽车 (CAV) 技术的初始阶段,预计在可预见的未来,人类驾驶车辆 (HV) 和 CAV 将共存。虽然专用 CAV 车道被认为是在混合交通场景中提高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,尤其是在 CAV 渗透率低的情况下。因此,本研究提出了一种用于互联和自动公交车 (CAB) 和私人 CAV 共享 CAV 车道的新概念,并开发了一种用于干线的多绿波控制方法,以实现异构交通中的时空协调。二维流量协同旨在同步提升 CAB 的服务水平,提升整体流量效率。建立了一个三尺度框架来整合车道、交叉路口和主干道层面的控制问题。随着 CAV 车道的部署,在车道层面调查车道指定的流量分配控制问题,并设计了一个专门的阶段,为 CAV 提供专属的通行权,并在交叉口层面与在线无冲突控制策略相结合。在此基础上,针对主干道异构交通开发了多绿波设计,以充分利用 CAV 车道和常规车道的时空资源,进一步提高交通效率。为了解决大规模和复杂结构优化的挑战并实现实时实现,该文提出一种分层求解方法。将原始问题分解为子问题,通过逼近方法可以有效地解决子问题,以放宽它们之间的边界约束。 在新加坡的一条动脉上进行的模拟实验验证了所提出的方法的性能。结果表明,与其他经典策略相比,所提出的二维协调策略显著提高了交通效率,使 CAB、私人 CAV 和 HV 的平均出行延误分别降低了至少 20.4%、37.4% 和 21.4%。
更新日期:2025-01-20
中文翻译:
![](https://scdn.x-mol.com/jcss/images/paperTranslation.png)
互联和自动驾驶公交车和私家车共享使用专用车道:多绿波信号控制方案
在实施互联和自动驾驶汽车 (CAV) 技术的初始阶段,预计在可预见的未来,人类驾驶车辆 (HV) 和 CAV 将共存。虽然专用 CAV 车道被认为是在混合交通场景中提高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,尤其是在 CAV 渗透率低的情况下。因此,本研究提出了一种用于互联和自动公交车 (CAB) 和私人 CAV 共享 CAV 车道的新概念,并开发了一种用于干线的多绿波控制方法,以实现异构交通中的时空协调。二维流量协同旨在同步提升 CAB 的服务水平,提升整体流量效率。建立了一个三尺度框架来整合车道、交叉路口和主干道层面的控制问题。随着 CAV 车道的部署,在车道层面调查车道指定的流量分配控制问题,并设计了一个专门的阶段,为 CAV 提供专属的通行权,并在交叉口层面与在线无冲突控制策略相结合。在此基础上,针对主干道异构交通开发了多绿波设计,以充分利用 CAV 车道和常规车道的时空资源,进一步提高交通效率。为了解决大规模和复杂结构优化的挑战并实现实时实现,该文提出一种分层求解方法。将原始问题分解为子问题,通过逼近方法可以有效地解决子问题,以放宽它们之间的边界约束。 在新加坡的一条动脉上进行的模拟实验验证了所提出的方法的性能。结果表明,与其他经典策略相比,所提出的二维协调策略显著提高了交通效率,使 CAB、私人 CAV 和 HV 的平均出行延误分别降低了至少 20.4%、37.4% 和 21.4%。