基于人均延误最小的干线协调实时控制研究

Research on Real-Time Arterial Coordination Traffic Signal Control Model Based on Minimum Per Capita Delay

为提高干线中所有出行者的综合效率,以机动车辆中所有乘客的人均延误最小为优化目标,以有效绿灯时间和相位差为优化参数,建立了干线协调实时信号控制模型。根据车流波动理论建立车头延误和队尾延误模型,依据载客率的不同对公交车和社会车辆分别建立车辆延误模型,引入载客率系数得到人均延误。结果表明:干线总体平均停车次数和平均速度均有明显改善,各交叉口间路段平均行程时间均有明显降低。

To improve overall efficiency for all travelers of artery system, a real-time arterial coordination traffic signal control model was proposed. The model not only satisfied minimum per capita delay for all travelers on motor vehicles, but also selected effective green time and phase difference as the optimized parameters. The model of vehicle head delay and team tail delay was established based on traffic wave theory. The vehicle delay model for bus and social vehicles was developed in light of different occupancy rates, besides, the per capita delay could be obtained by introducing it. The results show that the overall average stop frequency and average speeds of artery are significantly improved. Meanwhile, the average travel time of segments between intersections is obviously decreased.