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Nov 12, 2013
Paramics-Based Microscopic Simulation Evaluation for Urban Traffic Signal Two-Stage Controller
Authors: Wenchen Yang [email protected], Lun Zhang, Zhaocheng He, and Qian RaoAuthor Affiliations
Publication: ICTE 2013: Safety, Speediness, Intelligence, Low-Carbon, Innovation
Abstract
This paper proposes the design and Paramics-based evaluation of a two-stage fuzzy logic traffic signal controller (TSTFC) for an isolated intersection. The fuzzy controller employs traffic intensity-based two stage fuzzy logic procedure, and the design principles of two-stage fuzzy controller are first presented. Then, the COM-based hybrid programming is employed to make the micro traffic simulator Paramics interact with fuzzy controllers developed by Matlab, and a Paramics-based simulation platform of TSTFC is developed via Paramics API. Finally, experiments are conducted on a typical urban isolated intersection, and the performance of the developed two-stage fuzzy control simulation model is validated by comparison to those of fixed-time, actuated, and classic fuzzy controllers for different traffic conditions. Extensive simulation results have demonstrated the potential of developed hybrid programming in time efficiency and simulating real traffic conditions and indicated that the signal strategy derived from TSTFC is more effective when traffic status at intersections is above low saturation.
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© 2013 American Society of Civil Engineers.
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Published online: Nov 12, 2013
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Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai 201804, P.R. China. E-mail: [email protected]
Lun Zhang
Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai 201804, P.R. China
Zhaocheng He
School of Engineering, Guangdong Provincial Key Laboratory of Intelligent Transportation System, Sun Yat-sen University, Guangzhou 510275, P.R. China
Qian Rao
Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai 201804, P.R. China
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