Journal of Transportation Systems Engineering and Information Technology

Journal of Transportation Systems Engineering and Information Technology ›› 2019, Vol. 19 ›› Issue (5): 86-93.

• Intelligent Transportation System and Information Technology • Previous Articles     Next Articles

Distributed Traffic Signal Control Based on Combination of MP and MPC

LI Bing1, 2, CHENGWei1, YAN Yong-ting3, XU Huan2, 4   

  1. 1. School of Transportation Engineering, Kunming University of Science and Technology, Kunming 650093, China; 2. Key Laboratory of Urban ITS Technology Optimization and Integration Ministry of Public Security, Hefei 230088, China; 3. The Traffic Police Department of Qujing Public Security Bureau, Qujing 655000, Yunnan, China; 4. Anhui Keli Information Industry CO. LTD, Hefei 230088, China
  • Received:2019-04-12 Revised:2019-05-20 Online:2019-10-25 Published:2019-10-25

基于MP 与MPC 相结合的分布式交通信号控制研究

李冰1, 2，成卫*1，晏永廷3，徐欢2, 4   

  1. 1. 昆明理工大学交通工程学院，昆明 650093；2. 城市交通管理集成与优化技术公安部重点实验室，合肥 230088；3. 曲靖市公安局交通警察支队，云南曲靖655000； 4. 安徽科力信息产业有限责任公司，合肥 230088
  • 作者简介:李冰(1990-)，男，云南昌宁人，博士生.
  • 基金资助:

    城市交通管理集成与优化技术公安部重点实验室开放基金/ Key Laboratory of Urban ITS Technology Optimization and Integration Ministry of Public Security of China (2017KFKT04).

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Abstract:

Based on the distributed signal control characteristics of the max pressure (MP) and the real- time queue length prediction model established by the author, the model predictive control (MPC) is used to further optimize the rolling feedback of the modified max pressure signal control strategy. A distributed signal control method combining the MP and the MPC is established. The results of the model verification show that the delay of the intersection 1 and the intersection 2 after the MPC embedding is reduced by 13.47% and 15.35%, respectively, and the effect of the MP on the control output before and after the split weight correction is compared. And the number of queue overflow times of the lane 4 and the lane 10 of the bottleneck section after the optimization is reduced from 6 and 9 times respectively to 0. It is shown that the modified signal optimization strategy of the MP split can effectively prevent the occurrence of queue overflow.

Key words: urban traffic, distributed traffic signal control, max pressure, model predictive control, queue length, delay

摘要：

依托于最大压(Max Pressure，MP)分布式信号控制特性，结合已建立的实时排队长度预测模型，利用模型预测控制(Model Predictive Control，MPC)进一步对修正后的MP信号控制策略进行滚动反馈优化，提出了MP与MPC相结合的分布式信号控制方法. 模型验证结果表明：MPC嵌入后，MP优化下的交叉口1 与交叉口2 延误分别降低了13.47%、15.35%；并且对比了MP绿信比分配权重修正前后对控制输出的影响，优化后瓶颈路段的车道4 和车道10 的排队溢出次数分别从6 次和9 次降低为0 次，表明修正后MP绿信比权重的信号优化策略更能有效防止排队溢出现象的发生.

关键词: 城市交通, 分布式交通信号控制, 最大压, 模型预测控制, 排队长度, 延误

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