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Multiagent Control Approach with Multiple Traffic Signal Priority and Coordination
| 题名： | Multiagent Control Approach with Multiple Traffic Signal Priority and Coordination |
| 正文语种： | eng |
| 作者： | Mingtao Xu;Xiaoqi Zhai;Zhongyu Sun;Xuan Zhou;Yunxing Chen |
| 作者单位： | School of Civil Engineering Zhengzhou Univ. 100 Kexue Rd. Zhengzhou 450001 China;School of Civil Engineering Zhengzhou Univ. 100 Kexue Rd. Zhengzhou 450001 China;School of Civil Engineering Zhengzhou Univ. 100 Kexue Rd. Zhengzhou 450001 China;School of Civil Engineering Zhengzhou Univ. 100 Kexue Rd. Zhengzhou 450001 China;Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle & School of Automotive and Traffic Engineering Hubei Univ. of Arts and Science 296 Longzhong Rd. Xiangyang 441053 China |
| 关键词： | Transit signal priority (TSP); Coordination; Multiagent; Fuzzy inference; Conflicts |
| 摘要： | In this paper, a multiagent-based control method is proposed to design a transit signal priority (TSP) scheme at urban traffic networks. One agent controls an intersection. Coordination among different intersection agents is deployed to guarantee the benefits from TSP at upstream intersections. At one intersection there are usually many bus routes, and thus multiple TSP requests and coordination requests can occur at one phase simultaneously. Therefore, the proposed method also aims at resolving conflicting TSP or coordination requests. A multilevel fuzzy controller consisting of a transit signal priority controller, Green Time Adjustment Controller 1, fuzzy negotiation controller, and Green Time Adjustment Controller 2 is then introduced to realize these objectives. Following that, fuzzy inference decisions and algorithms are provided for describing the control process of the proposed multiagent method. An urban traffic network with 25 intersections is selected to conduct a case study to evaluate the proposed method by comparison and sensitivity analysis. The proposed method performed better than the other three methods under different scenarios in accordance with the simulation results. |
| 出版年： | 2023 |
| 期刊名称： | Journal of Transportation Engineering |
| 卷： | 149 |
| 期： | 1 |
| 页码： | 04022124.1-04022124.10 |
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