The Hardware In-Loop Simulation System Based on SUMO for Autonomous Optimization Control Algorithm at Intersection

According to the characteristic of traffic stream at urban intersections in China, which is uneven, random and complicated, on the one hand, an autonomous optimization control algorithm for traffic signal based on single signal group was proposed in this paper. By this algorithm, the traffic stream can be controlled independently as the single unit, different combination of green signal can be formed flexibly according to different traffic demand, and the green time for each traffic stream was adjusted dynamically with the consideration of vehicle queue length in all directions of the intersection. On the other hand, based on the development of the open source interface of SUMO, the hardware in-loop simulation system connected to the traffic signal controller and microwave radar detector was established, the status data of the traffic signal and the traffic stream were obtained through the communication interface in real time, the result of autonomous optimization control algorithm was simulated and evaluated online. Finally, a full-day application test was carried out at actual intersection, the test result showed that, compared with the fixed phase actuated control scheme, the vehicle queue length and space occupancy were decreased more effectively by the algorithm proposed in this paper, which can further improve the traffic efficiency at intersection.