Adaptive traffic signal control, PID controller, SUMO simulation, closed loop control
Abstract
As the global increasement of private vehicles, the traffic congestion is getting worse, which makes a great effect on the environment and society economics. How to optimize the existing traffic signal control becomes an important part of the current research. The author finds that most current research about the traffic signal control system are focus either on improving the way of collecting traffic data, or on optimizing the control algorithms. Instead of bringing out the innovative mathematical models to improve entire system structure. Therefore, in this article, an adoptive traffic signal control system based on PID controller is designed to adjust the traffic density by collecting the real time traffic flow and change the duration of traffic signal. This research includes the following section: First model the traffic system in second order form, then the PID controller is tuned into MATLAB and simulated in the SUMO and PYTHON. Finally, the results show that the designed system can precisely control the signal duration according to the real time traffic flow. Compared to the fixed time traffic system, the total waiting time of vehicles is reduced by 84%, which greatly reduce the traffic congestion and shortens people’s travel time.
