OPTIMIZATION OF CONTROL PARAMETERS FOR ADAPTIVE TRAFFIC-ACTUATED SIGNAL CONTROL

摘要

This paper proposes a real-time adaptive control model for signalized intersections thatrndecides optimal control parameters commonly found in modern actuated controllers, aimingrnto exploit the adaptive functionality of traffic-actuated control and to improve the performancernof traffic-actuated signal system. This model incorporates a flow prediction process thatrnestimates the future arrival rates and turning proportions at target intersections based on thernavailable signal timing plan and detector information. Signal control parameters are optimizedrndynamically cycle-by-cycle to satisfy these estimated demands. The proposed adaptive controlrnstrategy is tested on a network consisting of thirty-eight actuated signals using microscopicrnsimulation. Simulation results show that the proposed adaptive model is able to improve thernperformance of the study network, especially under off-peak traffic conditions.