Data-driven Adaptive Cooperative Control for Urban Traffic Signal Timing in Multi-intersections

摘要

This paper presents a new distributed data-driven adaptive cooperative control method (DDACC) for urban traffic signal timing which can achieve the multi-directional queuing length balance with changeable cycle in multi-intersections. This method can guarantee the consensus convergence of the distributed coordinated errors of queuing length with the goal of reducing traffic congestion in multi-agent traffic systems. The proposed DDACC has three novel features, merely using the collected I/O traffic queueing length data and network topology of multi-directional signal controllers at multi-intersections, considering maximum and minimum green time constraints, well working on both undersaturation and supersaturation traffic flow conditions. The results are illustrated by numerical and experimental comparison simulations which are performed on a VISSIM-VB-MATLAB joint simulation platform.