Optimal Parameter Settings for Adaptive Traffic-Actuated Signal Control

This paper proposes a real-time adaptive signal control model that decides optimal signal control parameters commonly found in modern actuated controllers, aiming to exploit the adaptive functionality of traffic-actuated control and to improve the performance of traffic-actuated signal system. These control parameters are optimized cycle by cycle to satisfy the real-time vehicle demands that are estimated based on signal timing information. The proposed control model is applied and tested on a network consisting of thirty-eight actuated signals through microscopic simulation. Simulation results show that, traffic-actuated signal control that uses the optimized parameters is able to improve the performance of the study network, especially under off-peak traffic conditions.