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WU Z Q, FAN Z B, GUO J X,et al.Study on coordinated control of urban trunk traffic based on cellular automata simulation[J].Journal of Henan Polytechnic University(Natural Science) ,2025,44(5):62-71.

基于元胞自动机模拟的城市干线交通协调控制研究

吴志强1, 范智博2,3, 郭警醒1, 张希帆4, 王艳红5

1.河南理工大学 计算机学院，河南 焦作  454000；2.中国工程物理研究院 研究生院，北京  100088；3.北京应用物理与计算数学研究所，北京  100088；4.河南理工大学 数信学院，河南 焦作  454000；5.河南农业大学 机电工程学院，河南 郑州  450002

摘要: 目的 探究城市干线交通系统连续路口协调控制方案对循环性交通拥堵的影响，规避不合理交通控制对出行的干扰，开展基于元胞自动机模拟的城市干线交通协调控制研究。  方法 以3个连续路口的干线交通系统为研究场景，运用交通流元胞自动机NaSch模型，采用开放边界条件，模拟不同交通控制参数下的交通运行情况，分析交通系统入口进车概率、各路口信号周期时长、绿信比、绿时差和各路段长度对3条连续路段交通状态的影响。  结果 结果表明，在3个连续路口的干线交通系统中，进车概率增加对上游路段影响更大，将其控制在0.6以下，可减少停滞车数量与堵车概率；上游路口信号周期时长较短能减轻下游路段交通压力，而下游对上游影响较小，上游路口绿信比过大影响相邻下游路段的交通状态；信号周期时长设为90 s、绿信比设为0.6较适宜，低于0.5会大幅增加停车等待概率；上游路口的绿时差可适当缓解下游拥堵；路段长度增加会使本路段排队车辆数增多，但对其他路段影响较小。 结论 在3个连续路口的城市干线交通系统中，降低进车概率，合理调控信号周期时长、绿信比和绿时差等参数，能减少路口交通排队，降低拥堵，这可为城市干线交通设计和连续路口的信号配时优化提供参考。

关键词:城市干线交通;连续路口;协调控制;元胞自动机;交通模拟

DOI:10.16186/j.cnki.1673-9787.2024070071

基金项目:国家自然科学基金资助项目（71601073）；河南省自然科学基金资助项目（232300420075，242300420029，252300420042）；国家级大学生创新创业训练计划项目（202110460031）

收稿日期:2024/07/19

修回日期:2025/03/26

出版日期:2025/07/23

Study on coordinated control of urban trunk traffic based on cellular automata simulation

Wu Zhiqiang1, Fan Zhibo2,3, Guo Jingxing1, Zhang Xifan4, Wang Yanhong5

1.College of Computer Science， Henan Polytechnic University， Jiaozuo  454000， Henan， China；2.Graduate School， China Academy of Engineering Physics， Beijing  100088， China；3.Institute of Applied Physics and Computational Mathematics Beijing， Beijing  100088， China；4.School of Mathematics and Information Science， Henan Polytechnic University， Jiaozuo  454000， Henan， China；5.College of Mechanical and Electrical Engineering， Henan Agricultural University， Zhengzhou  450002， Henan， China

Abstract: Objectives To explore the impact of the coordinated control scheme for continuous intersections in the urban trunk traffic system on cyclic traffic congestion and avoid the interference of unreasonable traffic control on travel， Conduct research on coordinated control of urban arterial traffic based on cellular automaton simulation.  Methods the trunk traffic system of three continuous intersections was taken as the research scenario. The traffic flow cellular automaton NaSch model was applied， and open boundary conditions were adopted. The traffic operations under different traffic control parameters were simulated， and the effects of the vehicle-entering probability at the traffic system entrance， the signal cycle lengths， green-light ratios， green-time differences of each intersection， and the lengths of each road section on the traffic states of the three continuous road sections were analyzed.  Results The results showed that， in the trunk traffic system of three continuous intersections， an increase in the vehicle-entering probability had a more significant impact on the upstream road section. When it was controlled below 0.6， the number of stagnant vehicles and the probability of traffic jams were reduced. A shorter signal cycle length at the upstream intersection relieved the traffic pressure on the downstream road section， while the downstream had little influence on the upstream. An excessively large green-light ratio at the upstream intersection affected the traffic state of the adjacent downstream road section. A signal cycle of 90 s and a green-light ratio of 0.6 were found to be more suitable； when the green-light ratio was lower than 0.5， the probability of vehicles stopping and waiting at the intersection increased significantly. The green-time difference at the upstream intersection appropriately alleviated the congestion at the downstream intersection. An increase in the length of the road section led to an increase in the number of queuing vehicles on this section， but had little impact on other road sections.  Conclusions In the urban trunk traffic system of three continuous intersections， by reducing the vehicle-entering probability and reasonably regulating parameters such as the signal cycle lengths， green-light ratios， and green-time differences， traffic queuing at intersections was reduced， and congestion was alleviated. This study provided a reference for urban trunk traffic design and signal timing optimization of continuous intersections.

Key words:urban trunk traffic;consecutive intersections;coordinated control;cellular automata;traffic simulation