Research on the Optimal Assignment of Traffic Signal for Isolated Intersection in Intelligence Transportation System

This article proposed a new method using Genetic Algorithms to optimize Real-time fuzzy control. This model has less input parameters, less rules. And it has advantages in both time and space complexity. It is easy to control, and has no restriction of experience knowledge. This method is applicable to Real-time system applications. The simulation result indicates the Fuzzy-Genetic Algorithms Optimizing control method delays in the time in the vehicles compared with the traditional timed control method greatly is the improvement.