Multi-intersection coordinated control method based on group decision-making

On the basis of the group decision-making mechanism with competition and cooperation, the isolated signal optimization was modeled as the right-of-way competition process of all phases at intersections, and the coordination among many intersections was modeled as the cooperation process between upstream and downstream phases. A signal timing design method for road networks was proposed under considering both the multi-intersection synergy and the optimal control of isolated intersections. The perceptibility of the vehicle route information in road networks under the vehicle-road cooperative environment was used to quantitatively analyze the coupling relationship between upstream and downstream traffic in a dynamic and accurate manner. On this basis, a hierarchical dynamic decision-making framework was established to avoid the impact of the control decisions of upstream and downstream intersections on local decisions in single-layer decision-making, and the composite relationship between the traffic states of road networks and the signal control decision in the cooperative control model was decoupled. A distributed decision-making algorithm for signal timing was designed based on the competitiveness of each traffic flow at intersections, and the performances of the proposed group decision-making cooperative control method and the traditional cooperative control method was compared by a simulation test platform. Research results show that compared with the traditional cooperative control method, the group decision-making cooperative control method can dynamically adapt to the traffic demand of the road network, and has significant advantages in traffic efficiency and stability. Under the traffic demand levels with different saturation degrees, the average vehicle delay can reduces by more than 15%. In the case of high traffic saturation, the delay can reduce by 19.2%, so the control advantage is more obvious. As the upstream outflow of the vehicles can be reduced by the group decision-making cooperative control method when the vehicle queues at downstream intersections for inflow arc long, the maximum queue length in road networks can be cut by over 40%. In this way, the overflow risk in road networks can be avoided. Through the distributed solution of the group decision-making cooperative control method, the calculation time of a single decision-making process is less than 0.01 s, so the method has the potential to be applied to the real-time signal timing decision in large-scale complex road network. 1 tab, 7 figs, 31 refs. © 2022 Chang'an University. All rights reserved.