Research on Intelligent Signal Timing Model Optimization Based on Deep Learning Thought

Abstract Aiming at the problem of traffic congestion and traffic jams at intersections, this paper proposes an optimized control system for automatic timing of traffic lights.Based on big data and deep learning ideas, the number of vehicles parked at intersections in a signal cycle and the signal cycle time are used to calculate the number of vehicles parked at intersections in the next cycle. According to the number of vehicles parked, the green time of the signal light is obtained, and an optimization model of the signal light is established.The model aims to maximize the traffic capacity at the intersection and minimize the delay time.Finally, the model is simulated by python, and the obtained data is compared with the data under the control of traditional signal lights.