考虑物理排队的自适应公交优先信号设置

发布时间：2018-09-14 14:59

【摘要】：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。
[Abstract]:Aiming at the control of green traffic at single intersection, an adaptive bus priority signal setting method considering the physical queue of buses and cars on road sections is presented. Firstly, a dynamic traffic model considering the interaction between buses and cars is described, which can simulate the physical queuing of vehicles. The model assumes that the traffic flow on the road is divided into two states: one is that the bus and the car are both free flow, the other is the crowded state in which the bus and the car are intertwined. Furthermore, the method of calculating the delay of cars and cars on road sections is given, and based on this, the green ratio of optimization is calculated with the per capita delay as the performance index. Finally, through the simulation method, it is given that the ratio is low, medium and low. The optimization results of bus priority signals under different traffic congestion conditions, such as high traffic and accident conditions. The results show that under the condition of low congestion, it is of no practical significance to consider the problem of bus priority, and in the case of moderate congestion, the signal timing scheme of considering bus priority can slightly improve the travel time of passengers and reduce the queue. In the case of high congestion, the optimized green ratio is better than the fixed green ratio, and when traffic accidents occur in the relevant sections of the intersection, under different congested conditions, the optimized green ratio can obtain more benefits than the fixed green ratio.
【作者单位】：长安大学电子与控制工程学院;
【基金】：国家自然科学基金项目(60804049) 陕西省自然科学基金项目(2016JM5052) 中央高校基本科研业务费专项资金项目(2014G2320005)
【分类号】：U491

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