摘要
为应用智能公交系统数据获得公交乘客的换乘信息,采集公交智能调度系统和公交自动收费系统数据,对原始数据结构和数据质量进行分析,应用数据仓库技术完成原始数据组织;在对公交乘客换乘站点判断思路和参数计算方法研究的基础上,提出了通过计算逐个乘客连续2次乘车的合理换乘时间来判断换乘站点的方法,构建了实现算法并进行编程,最后以南宁市智能公交系统的海量实际数据对算法进行了试验分析。研究结果表明:该方法将公交GPS数据与站点坐标进行匹配,能够可靠计算出换乘判断阈值,乘客车内时间及等候时间的计算误差均小于60s;该方法用于判别2次公交乘车是否属于换乘行为,并同时确定出换乘的站点和换乘的时间,与传统方法采用统一阈值判断换乘相比,准确性得到了大幅度的提高。
In order to get transfer information by APTS （advanced public transportation systems） data, the data of intelligent dispatching system and automatic collection system were collected, the data structure and quality were analyzed, and the data were organized by data warehouse technology. Based on the analysis of fundamental idea and parameters calculation of transfer judg ment, the paper put forward the method of identifying transfer stops by accurately calculating reasonable transfer time between two continuous boarding. Finally, the algorithm of identifying transfer stops was presented, programmed and tested on large scale actual APTS data of Nanning City of China. The results indicate that this method can reliably calculate the transfer threshold value by matching bus GPS data and bus stop coordinates; the judgment errors of bus travel time and waiting bus time are less than 60 s; this method can be used to identify whether the two boarding will have a transfer behavior and also to determine the transfer stops and the transfer time, and the accuracy is greatly improved compared with traditional uniform threshold method. 1 tab, 8 figs, 12 refs.
出处
《长安大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2013年第4期92-98,共7页
Journal of Chang’an University(Natural Science Edition)
基金
国家自然科学基金项目(51208408)
陕西省教育厅科研计划项目(12JK0797)
西安建筑科技大学学科培育计划项目(XK201213)
关键词
交通工程
智能公交系统
换乘
公交自动收费系统
智能调度系统
IC卡数据
traffic engineering
advanced public transportation system（APTS）
transfer
automat-ic collection system
intelligent dispatching system
smart card data
