摘要
利用长期收集的公交站点IC卡刷卡数据,基于区间不确定性理论,提出公交上下车站点区间不确定性客流推导方法.首先,将公交IC卡数据和GPS数据与公交站点信息相融合,确定IC卡刷卡的上车站点及其区间不确定性客流;然后,对公交刷卡行为进行分析,考虑乘客个体出行特征、乘客出行距离和站点吸引权重,提出下车站点客流推导概率模型及相应算法,通过区间数处理方法,得到下车站点客流区间值.最后,以2015年11月13日~12月25日深圳市21路公交为期6周的IC卡刷卡数据和GPS数据为例进行实例分析.
Using the data of smart card of bus station collected in the long term, a method of the interval uncertainty passenger flow derivation of the bus station is proposed based on the interval uncertainty theory. On condition that the bus smart card data and GPS data as well as bus station information are fused, boarding stations of bus passengers are identified, and then interval uncertainty passenger flow of boarding stations are inferred. By analyzing the behavior of bus swiping card, and considering the individual trip characteristics and the travel distance of passengers to attract the weight of the station, the probabilistic model of alighting passenger flow and its corresponding algorithm are proposed, and the interval value of the passenger flow at the alighting station is obtained according to interval number processing method. An example is given and analyzed by taking smart card data and GPS data of No. 21 bus in Shenzhen City from November 13, 2015 to December 25, 2015.
作者
柳伍生
周向栋
谭倩
LIU Wu-sheng1, ZHOU Xiang-dong1, TAN Qian2(1. School of Traffic and Transportation Engineering, Changsha University of Science and Technology, Changsha 410004, China; 2. School of Traffic and Transportation Engineering, Central South University, Changsha 410075, Chin)
出处
《交通运输系统工程与信息》
EI
CSCD
北大核心
2018年第2期149-156,共8页
Journal of Transportation Systems Engineering and Information Technology
基金
国家自然科学基金(61508065
51178061)~~
关键词
城市交通
站点客流分析
区间不确定性理论
城市公交站点
IC卡数据
urban traffic
passenger flow analysis of bus station
interval uncertainty theory
public transit station
intelligence card data