Crossroad traffic signal optimization under uncertainty traffic demand

This paper presents a traffic signal Settings optimization model based on cell transmission model (CTM), considering traffic demand uncertainty. To optimize the traffic signal Settings, the genetic algorithm was used. The simulation results show that the model can effectively reflect the impact of the fluctuation of traffic flow on the signal timing and vehicle delay calculation in a variety of traffic conditions (non-saturated, over-crowding and saturation of traffic flow), and realize the optimization of the intersection traffic signal settings.