摘要
在仅获得快速公交闸机刷卡系统产生的乘客刷卡数据的情况下,结合实地调研得到的车辆在站点间的行驶时间数据,利用乘客出站时间间隔将乘客分类,可估算出各车次到达各站点的时间、以及在各站点的上下车人数等信息,从而计算车辆满载率。并以成都二环快速公交为例,通过真实乘客刷卡数据验证了该方法的准确性和实用性,计算结果可以反映出当天系统的运营情况,可为公交的运营、调度提供参考依据。
In this paper, we considered the scenario where only the IC card data of the rapid bus passengers was available, then in connection with the running time data of the bus between stops obtained through field investigation, we grouped the passengers based on the interval between their alighting time, from which we could estimate the arrival time of the bus at different stops as well as the quantity of the boarding and alighting passengers and calculate the full-load rate of the bus, and at the end, in the case of the ring-2 rapid bus of Chengdu, we verified the accuracy and practicality of the method.
出处
《物流技术》
2016年第12期74-78,140,共6页
Logistics Technology
关键词
智能交通
满载率
数据挖掘
快速公交
公交运营
intelligent traffic
full-load rate
data mining
rapid bus
bus operation
