A coordinated signal control method for arterial road of adjacent intersections based on the improved genetic algorithm

To reduce the vehicle delay effectively, a coordinated signal control method for arterial road of adjacent intersections has been proposed, which is based on the genetic algorithm improved. The method takes the signal coordinated control system for arterial road of adjacent intersections as the research object, by analyzing the signal states encountered by the head and tail of fleet before the crossing of the arterial road, and adopting the minimum total delay of waiting queue team as the performance index, to establish the coordinate control system optimization model for arterial road, in which a cycle length, signal timing and phase difference are optimization parameters. And the method introduce minimum spanning tree clustering idea to improve the defects of the standard genetic algorithm (Standard Genetic Algorithms, SGA), and then optimizes the aforementioned the coordinate control system optimization model for arterial road. The experiment shows that the results obtained by the improved genetic algorithm are better than the ones obtained by standard genetic algorithm and traditional algebraic method respectively.