Real Time Signal Control Using Artificial Neural Network For Developing Megacities
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Thursday, October 20, 2011: 9:30 AM
S320H (Orange County Convention Center )
Description of Paper:
This paper describes a low-cost real-time coordinated traffic signal control system for megacities in developing or newly industrializing countries. The proposed system recognizes the traffic state with a few system detectors and chooses the optimal timing plans, which are previously optimized using network signal control optimization model TRANSYT.The proposed pattern recognition based neural network control system is evaluated based on microscopic traffic flow simulation through a component object model interface, and compared with the optimized pre-timed control strategies.