Abstract: Information such as position and speed of vehicles is easily obtained in vehicle infrastructure integration (VⅡ) environment. This provides a new data resource for traffic signal control systems. As the traditional signal control system is in poor robustness and cannot be adapted to the real-time variable characteristics of traffic flow, an adaptive real-time signal control optimization model in VⅡ environment is proposed. To minimize the average delay and the constraint of green time length of each phases, a genetic algorithm is used to solve the model, real-time signal timing optimization is realized at the intersection of this model. Finally, through the survey data and simulation experiment, the result shows that the proposed model performance is better than actuated control, the average delay reduced by 30%. Also, the proposed model can balance the vehicle's delay of each direction.

Key words: traffic engineering, adaptive traffic signal control, genetic algorithm, vehicle infrastructure integration, intersection