Vehicle-to-Infrastructure-Based Traffic Signal Optimization for Isolated Intersection

Traffic signal control is critical for traffic efficiency optimization but usually constrained by detection methods. The emerging V2I (Vehicle to Infrastructure) technology capable of providing rich information detection, thus becoming promising control. Based on parallel simulation, this paper presents a new method in environment. In the proposed method, predictive problem formulated, and cellular automata model employed as flow model. By using genetic algorithm, solved online implement receding horizon Simulation results show that can improve sense reducing average delay number stops. Meanwhile, simulation also shows greater communication range brings better performance V2I-based efficiency, especially when volume relatively high. algorithm be applied efficiency.