Regional Traffic Signal Control Considering the Dynamic Characteristics of Traffic Flow

In this paper, regional traffic signal control is studied. Considering the dynamic characteristics of traffic flow, an improved store-forward model is proposed. Due to the complexity and coordination of regional traffic, a large-scale regional traffic is divided into several sub-regions using a region decomposition method firstly. Secondly, the optimization problem of the large-scale regional traffic is presented based on Hico-MPC. Lagrange dual theory multipliers are introduced to deal with interconnecting constraints among sub-regions. Then we forecast the vehicle queue of sub-regions and optimize the green light time. Finally, the simulation is presented to illustrate the effectiveness of the improved model by comparing with the store-forward model. The results show that the improved model requires less computation time and lower computational cost when the same control effect is achieved. Copyright © 2019 Acta Automatica Sinica. All rights reserved.