Continuous Genetic Algorithm for Traffic Signal Control

Traffic signal control has many approaches with the aim of reducing congestions on intersections. Genetic Algorithms (GAs) have been applied in traffic signal control recently in some research. However, there is still a room for more using of the GA under different scenarios. In this papers, we introduce an outstanding GA for traffic control. The proposed GA can work on single or multiple intersections. Results show that the proposed GA allows almost all vehicles on intersections to pass through under reasonable delay.