针对单点十字路口绿色交通的控制问题,给出一种考虑路段上公交车和小汽车物理排队的自适应公交优先信号优化设置方法。首先,描述了一个考虑公交车和小汽车相互作用的动态交通模型,该模型能够模拟车辆的物理排队现象,模型假设路段上的流量分为2种状态:一种是公交车和小汽车均为自由流状态,另一种是公交车和小汽车交织在一起的拥挤状态;然后,进一步给出在路段上小汽车和小汽车的延误计算方法,并以此为基础,以人均延误为性能指标计算优化的绿性比;最后,通过仿真方法给出了在低、中、高以及事故情况等几种不同交通拥挤条件下,公交优先信号的优化结果。研究结果表明:在低度拥挤的情况下,考虑公交优先问题并没有实质意义;在中度拥挤的情况下,考虑公交优先的信号配时方案能稍微改善乘客的行驶时间,减少路段排队;在高度拥挤的情况下,优化的绿性比会比固定绿性比好一些;当路口相关路段出现交通事故时,在不同拥挤状态下,优化绿性比能够比固定绿性比获得更多的效益。 Aiming at the control problem of green traffic at a single intersection, a method of optimizing bus priority signal for traffic queuing and car physical queuing is given. First, a dynamic traffic model considering the interaction between bus and car is described. The model can simulate the physical queuing of vehicles. The model assumes that the traffic on the road is divided into two states: one is that the bus and the car are both Free flow state and the other is crowded state where the bus and the car are intertwined. Then, the method of calculating the delay of cars and cars on the road section is further given, and based on this, the delay per capita is taken as the performance index Finally, the optimization results of bus priority signal are given under different traffic congestion conditions, such as low, medium and high and accident conditions. The results show that in the case of low congestion, it is not meaningful to consider the bus priority problem. In the case of moderate congestion, the bus priority signal timing scheme can slightly improve the passenger’s travel time and reduce the number of road segments; In the case of high congestion, the optimized green ratio will be better than the fixed green ratio. When there are traffic accidents in the intersection-related sections, the optimized green ratio can obtain more benefits than the fixed green ratio under different congestion conditions .