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A signal timing plan formulation for urban traffic control
Affiliation:1. Institute of Transportation Engineering, Zhejiang University, Hangzhou 310058, China;2. Department of Civil and Environmental Engineering, Utah State University, Logan, UT 84322, United States;3. School of Transportation and Logistics, Dalian University of Technology, Dalian 116024, China;1. System Simulation & Control (S2CLab), Department of Transport Science, KTH Royal Institute of Technology, Teknikringen 10, Stockholm 10044, Sweden;2. iTekn Solutions, Stockholm, Sweden;1. Department of Energy Systems Engineering, Karamanoglu Mehmetbey University, Karaman, Turkey;2. Robotics Automation Control Laboratory (RAC-LAB), Konya Technical University, Konya, Turkey;3. Robotics Automation Control Laboratory (RAC-LAB), Selcuk University, Konya, Turkey;1. Key Laboratory of Measurement and Control of CSE, Ministry of Education, School of Automation, Southeast University, Nanjing, China;2. Department of Electrical & Computer Engineering, National University of Singapore, Singapore;3. National Laboratory of Industrial Control Technology, Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou, China;1. Faculty of Geodesy and Geomatics Engineering, K.N.Toosi University of Technology, Tehran, Iran;2. Institute of Artificial Intelligence and Cognitive Engineering, University of Groningen, Groningen, The Netherlands
Abstract:This paper addresses urban traffic control using an optimization model for signalized areas. The paper modifies and extends a discrete time model for urban traffic networks proposed in the related literature to take into account some real aspects of traffic. The model is embedded in a real time controller that solves an optimization problem from the knowledge of some measurable inputs. Hence, the controller determines the signal timing plan on the basis of technical, physical, and operational constraints. The actuated control strategy is applied to a case study with severe traffic congestion, showing the effectiveness of the technique.
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