Intersection Signal Control Method Considering Exclusive Autonomous-vehicle Phase

被引：0
|
作者：
Wu W. [1 ,2 ]
Qin S.-M. [1 ]
Ma W.-J. [3 ]
Long K.-J. [1 ]
机构：
[1] College of Traffic and Transportation, Chongqing Jiaotong University, Chongqing
[2] Key Laboratory of Intelligent Road and Vehicle Road Coordination in Hunan Province, Changsha University of Science & Technology, Hunan, Changsha
[3] School of Traffic and Transportation Engineering, Tongji University, Shanghai
来源：
Zhongguo Gonglu Xuebao/China Journal of Highway and Transport | 2023年 / 36卷 / 10期
基金：
中国国家自然科学基金;
关键词：
autonomous vehicle; exclusive autonomous-vehicle phase; intelligent transportation Received 20 Sept. 2022; the mixed traffic flow; traffic control; traffic engineering;
D O I：
10.19721/j.cnki.1001-7372.2023.10.015
中图分类号：
学科分类号：
摘要：
With the development of autonomous driving technology, the mixed traffic flow of autonomous-vehicles (AVs) and human-driven vehicles (HVs) will dominate the urban road environment for a long time. Therefore, finding ways to control the mixed traffic flow to improve the traffic efficiency of intersections has become a hot topic in recent years. Most of the existing studies on traffic control treat AVs the same as HVs. Because AVs and HVs share the right-of-way and green time together, it is difficult to explore the efficiency advantages of AVs. In this study, exclusive autonomous-vehicle phases (EAPs) and designed dedicated lanes for AVs were proposed, which can improve traffic efficiency of intersections under the mixed traffic flow environment. During the EAPs, AVs can cooperate with each other and traverse within the intersection. First, a "two-rings-four-groups" phase structure based on EAPs was proposed, and then a capacity prediction model for EAPs was established based on queuing theory. Second, using capacity maximization of the intersection as the objective and whether to set EAPs and the green duration of each phase as the decision variables, a mixed-integer nonlinear program model by considering constraints, such as lane marking, traffic capacity of lanes, signal timing, and flow distribution, was established. Finally, AMPL (A Mathematical Programming Language) was used to compile the model, and the Baron solver was used to solve the problem. The case study results reveal that EAPs can effectively separate AVs and HVs, and significantly improve the capacity of mixed traffic flow at intersections. The sensitivity analysis was conducted to analyze the impacts of various AV market penetrations on the performance of the proposed model. The results show that with the increase in AV market penetration, the benefits of the EAP increase first and then decrease, which further proves the effectiveness of the model and the existence of the optimal applicable conditions for EAPs. © 2023 Xi'an Highway University. All rights reserved.
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页码：183 / 196
页数：13
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