摘要
针对城市轨道交通客流分布推算问题,根据自动客票采集系统(AFC)数据和列车时刻表数据,提出基于乘客出行时空路径推算的网络客流分配方法.首先,利用前述两类数据估算乘客出行时间参数;其次,使用基于插点法的可行路径搜索算法得到全网各OD(origin-destination)对的可行路径集合;再次,基于乘客进出站刷卡信息、列车时刻表数据及匹配的可行路径集合,构建乘客有效出行路径集和列车集的推算模型,获得有效出行结果集;进一步,结合所得有效结果集合与列车载客量限制,并根据列车时刻表完成列车运行推演,确定唯一的有效出行路径和所乘列车;最后,设计开发基于C#语言的城市轨道交通网络客流推算系统,对某城市轨道交通工作日客流数据进行案例研究.结果表明:客流推算系统所得的断面客流推算值与运营参照值的平均差异上、下行分别为2.03%、3.90%;列车满载率变化趋势符合线路路由特点;早晚高峰时段换乘站的换乘客流来源站点固定,但早高峰来源量比例较晚高峰稳定.
To calculate passenger flow distribution in urban rail transits,a passenger flow assignment method based on inference of passenger spatiotemporal path is proposed with the data collected from the automatic fare collection(AFC)and train timetables.Firstly,the passenger travel time parameters are estimated with the above two types of data.The feasible path set of each origin–destination(OD)in the whole network is then obtained by using the feasible path search algorithm based on the node-inserting method.Subsequently,according to the inbound and outbound information from passenger smart cards,train timetable and matched feasible path set,an inference model of passenger effective travel path and train set is built to obtain the effective travel result set.Finally,a train operation is developed with the obtained effective result set,train load capacity,and train timetable to determine the sole effective travel path and riding train.A calculation system for the passenger flow in urban rail transit networks is designed and developed,and a case study is conducted on weekday passenger flow data of urban rail transit.The results show that the average difference of section passenger flow between the calculated results and operation reference data of upstream and downstream is 2.03%and 3.90%,respectively,and the trend of train load rate confirms to the line routing.Moreover,the source of transfer passenger flow at transfer station is stable in the morning and evening peaks,but the proportion of sources in the morning peak is more stable that in the evening peak.
作者
茧敏
王卓
陈哲轩
赵留杰
陈钱飞
陈绍宽
JIAN Min;WANG Zhuo;CHEN Zhexuan;ZHAO Liujie;CHEN Qianfei;CHEN Shaokuan(MOT Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport,Beijing Jiaotong University,Beijing 100044,China;Integrated Transport Research Center of China,Beijing Jiaotong University,Beijing 100044,China;Operation Company of Zhengzhou Metro Co.,Ltd.,Zhengzhou 450000,China)
出处
《西南交通大学学报》
EI
CSCD
北大核心
2023年第5期1117-1125,共9页
Journal of Southwest Jiaotong University
基金
国家自然科学基金(71890972,71890970)
北京市自然科学基金(L191023)。
关键词
城市交通
城市轨道交通
客流分配
时空路径推算
自动客票采集系统(AFC)数据
列车时刻表
urban transportation
urban rail transit
passenger flow assignment
inference of passenger spatiotemporal path
automatic fare collection(AFC)data
train timetable
