A Real-Time Signal Optimization Method for Supersaturated Intersection Groups Based on Line-Axis Combination

摘要

In this study, we established a real-time control framework of a group of intersections in an over-saturated urban road network using rolling discrete optimization. We examined vehicle queue overflow and waste of green time at key intersections, as well as vehicle departure rate and section length of critical path. Based this data, we established the offset optimization method based on line-axis combination, where the signal cycle is adaptively adjusted with the real-time saturation of key intersections as the constraint. Simulation results show that the line-axis combination method can improve the critical path capacity by 9%, reduce the overall delay of the intersection group by 7%, and effectively improve the vehicle traffic efficiency of the intersection group under the condition of super saturation.