Research on Signal Control of Urban Intersection Based on Genetic Algorithms

In order to study the optimization algorithm of signal timing of urban intersection under real-time traffic flows, with the target of minimizing the total delay of all entrance lanes of all phases and the restrictions of saturation and the minimum green signal time, the non-linear programming model for real-time signal control of urban intersection was constructed and the genetic algorithm for solving the model was proposed. With the model and the genetic algorithm the best scheme of signal timing can be obtained. Through a simulation experiment the application of the model and algorithm was illustrated. The cases of ignoring the restriction of saturation and minimizing the total delay of the key entrance lanes were also analyzed. The analysis results showed that the restriction of saturation should be taken into account and the target function should be constructed on the basis of minimizing the total delay of all entrance lanes of all phases so as to ensure correctness and rationality of the optimizing results.