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Adaptive Urban Traffic Signal Control for Multiple Intersections: An LQR Approach...

Publication Type
Conference Paper
Book Title
Proceedings of the 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)
Publication Date
Page Numbers
2240 to 2245
Publisher Location
New Jersey, United States of America
Conference Name
IEEE International Conference on Intelligent Transportation Systems (ITSC)
Conference Location
Macau, China
Conference Sponsor
Conference Date

Traffic congestion leads to severe problems especially in urban traffic networks. It increases the chance of accidents, energy waste, and social costs. In order to address these problems, an adaptive linear quadratic regulator (LQR) approach is developed for traffic signal control at multiple intersections in an urban area. The proposed method controls the green time of the traffic signals to reduce traffic congestion and smooth traffic flow. Real-world data from vision-based traffic sensors are used to build the traffic network model, which mimics the real-world traffic behavior. In addition, the proposed control utilizes recursive least square parameter estimation, which is capable of tracking dynamic changes in traffic conditions. Simulation of Urban MObility (SUMO) is used to analyze the efficacy of the proposed method. Results of the simulation show that the proposed method outperforms pretimed control in various aspects.