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采用江西省宜春市2路公交车早上6:00—9:00的车辆自动定位数据,分析了公交运营中常见的车头时距不稳定现象.对比讨论了6:00—7:00和7:00—9:00两个时段的车头时距稳定性,结果表明:交通状况和客流需求均会影响车头时距的稳定性.为了分析发车间隔对车头时距稳定性的影响,建立了车辆到站时间模型,该模型假设车辆的停靠站延误与车头时距线性相关.采用Matlab对该到站时间模型进行了仿真,仿真结果表明:发车间隔的大小和波动均对车头时距稳定性有影响,发车间隔越大,波动性越小,车头时距越稳定;发车间隔的波动对车头时距稳定性的影响比发车间隔的大小对其的影响更为显著.控制发车间隔的波动可以有效改善车头时距的稳定性,提高公交服务水平.
The automatic locating data of vehicles in Yichun City, Jiangxi Province, from 2: 00-9: 00 in the morning, were used to analyze the instability of headway in bus operation.Compared to 6: 00-7: 00 and 7: The results show that both the traffic condition and passenger flow demand will affect the stability of the headway.To analyze the effect of headway interval on the headway stability, Station time model, which assumes that the delay of the vehicle stops linearly with the headway time.This station time model is simulated by Matlab, and the simulation results show that both the size and the fluctuation of the headway interval affect the headway stability , The greater the departure interval, the smaller the volatility, the more stable the front time; the influence of the departure interval on the stability of the front time slot is more significant than the interval of the departure grid. The fluctuation of the control departure interval can be effectively improved Front of the stability of the time to improve the level of public transport services.