引用本文:黄鑫,林培群,裴明阳,谭满春,冉斌.交叉口混合交通流微观控制模型[J].控制理论与应用,2023,40(10):1851~1862.[点击复制]
HUANG Xin,LIN Pei-qun,PEI Ming-yang,TAN Man-chun,RAN Bin.Mixed traffic flow microscopic control model at intersections[J].Control Theory and Technology,2023,40(10):1851~1862.[点击复制]
交叉口混合交通流微观控制模型
Mixed traffic flow microscopic control model at intersections
摘要点击 1188  全文点击 396  投稿时间：2021-12-16  修订日期：2023-09-13
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DOI编号  10.7641/CTA.2022.11232
  2023,40(10):1851-1862
中文关键词  交通工程  混合交通流控制  协同通行  交叉口控制  智能网联车  微观交通仿真
英文关键词  traffic engineering  mixed traffic flow control  cooperative traffic  intersection control  connected and autonomous vehicle  microscopic traffic simulation
基金项目  国家自然科学基金项目(52072130), 广东省自然科学基金项目(2021A1515010409)
作者单位E-mail
黄鑫 华南理工大学 201910101510@mail.scut.edu.cn 
林培群* 华南理工大学 pqlin@scut.edu.cn 
裴明阳 瑞典查尔姆斯理工大学  
谭满春 暨南大学  
冉斌 美国威斯康星大学麦迪逊分校  
中文摘要
      为构建智能网联汽车(CAV)和有人驾驶汽车(HDV)混合通行情况下的交叉口通行机制与控制方法, 本文提出CAV专用道条件下交叉口协同通行模型. 首先, 设计CAV专用道条件下的交叉口布置, 对交叉口进行网格化处理,将CAV通行时隙和HDV绿灯相位对交叉口某部分网格某时段的占用统一到交叉口时空资源描述框架下; 其次, 建立兼顾CAV与HDV的交叉口时空网格资源分配模型, 构建自适应信号灯控制算法和CAV轨迹规划算法; 再次, 以车辆最小延误为目标进行自适应信号灯配时优化和CAV轨迹优化; 最后, 选取广州某典型交叉口建立仿真实验对所提方法的有效性进行了验证.
英文摘要
      In order to construct the traffic mechanism and control method of the intersection under the mixed traffic of connected and autonomous vehicles (CAV) and human drive vehicles (HDV), the paper proposed a cooperative traffic model for intersections under the conditions of CAV dedicated lanes. First, an intersection layout under the condition of CAV dedicated lanes is designed, and the intersection space is grid-processed. The occupancy of a particular part of the grid at the intersection for a certain period by the CAV and HDV is unified under the intersection space-time resource description framework. Second, a space-time resource allocation model is established considering both CAV and HDV. An adaptive signal light control algorithm and a CAV trajectory planning algorithm are proposed. Third, adaptive signal light timing and CAV trajectory are optimized to achieve minimum vehicle delay. Finally, the effectiveness of the proposed method is verified by selecting a typical intersection in Guangzhou to establish a simulation experiment.