OD Matrix Inference for Urban Public Transportation Trip Based on GPS and IC Card Data

doi:10.3969/j.issn.1674-0696.2015.03.24

Journal of Chongqing Jiaotong University(Natural Science) ›› 2015, Vol. 34 ›› Issue (3): 117-121.DOI: 10.3969/j.issn.1674-0696.2015.03.24

Previous Articles Next Articles

OD Matrix Inference for Urban Public Transportation Trip Based on GPS and IC Card Data

Yang Wanbo^1,2 ,Wang Hao^2,3 , Ye Xiaofei⁴, Xu Chuangchuang^1,2, Jiang Dongxue^2,3

1.Shenzhen Urban Transport Planning Center,Shenzhen 518021,Guangdong, China; 2. Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 211189, Jiangsu, China; 3. Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Nanjing 200096, Jiangsu, China;4. Faculty of Maritime and Transportation, Ningbo University, Ningbo 315211, Zhejiang, China

Received:2013-12-21 Revised:2014-03-02 Online:2015-06-20 Published:2015-07-07

基于GPS和IC卡数据的公交出行OD推算方法

杨万波^1,2,王昊^2,3,叶晓飞⁴,徐闯闯^1,2,姜冬雪^2,3

1.深圳市城市交通规划设计研究中心,广东深圳 518021;2.东南大学城市智能交通江苏省重点实验室,江苏南京 210096;3.现代城市交通技术江苏高校协同创新中心,江苏南京210096;4.宁波大学海运学院,浙江宁波315211

作者简介:杨万波(1989-),男,安徽泗县人,硕士,主要从事交通流理论、公交规划方面的研究。E-mail:wanboymin@163.com。
基金资助:
国家863计划项目（2012AA112304）

Abstract

Abstract: A method for estimation public transportation traffic zone OD was developed based on GPS data and IC card data. Public transportation will be divided into a closed-trip chain and a non-continuous trip chain. On this basis, the estimation of public transportation traffic OD can be calculated by integrating data mining technology and community residential transit trip rules. The appeal strength of bus stop was used to revise the disorder trip data. A method was proposed to calculate public transportation traffic zone OD based on GPS data and IC card data，and the data of Foshan center city was cited as an example to verify the reliability of this calculation method. On the whole, this method has realized the estimation of high precision trip OD matrix and it can be applied to urban transportation planning and management.

Key words: traffic engineering, GPS data, IC card data, traffic zone OD, data mining technology, cluster analysis, appeal strength

摘要： 主要基于GPS和公交IC卡数据研究推算交通小区公交出行OD的一种方法。将居民公交出行分为闭合型出行链和非连续型公交出行链，通过数据的挖掘融合技术，结合居民公交出行规律推算交通小区的公交OD矩阵，利用站点吸引强度对无明显规律的紊乱出行数据进行修正，提出了基于GPS和公交IC卡数据推算公交出行交通小区OD的方法，并以佛山市中心城区为例验证推算方法的可靠性。研究表明：所得公交出行OD矩阵精度较高。

关键词: 交通工程, GPS数据, IC卡数据, 交通小区OD, 数据融合, 聚类分析, 吸引强度

CLC Number:

U491.1

Yang Wanbo,Wang Hao,Ye Xiaofei, Xu Chuangchuang, Jiang Dongxue. OD Matrix Inference for Urban Public Transportation Trip Based on GPS and IC Card Data[J]. Journal of Chongqing Jiaotong University(Natural Science), 2015, 34(3): 117-121.

杨万波,王昊,叶晓飞,徐闯闯,姜冬雪. 基于GPS和IC卡数据的公交出行OD推算方法[J]. 重庆交通大学学报（自然科学版）, 2015, 34(3): 117-121.

References

[1] 戴宵,陈学武.单条公交线路的IC卡数据分析处理方法[J].城市交通,2005,3(4):73-76.
Dai Xiao,Chen Xuewu.The method of intelligent gard data analysis for one public transportation route[J].Urban Transport of China,2005,3(4):73-76.
[2] 徐建闵,熊文华,游峰.基于GPS和IC卡的单线公交OD生成方法[J].微计算机信息,2008,24（22）:221-222.
Xu Jianmin,Xiong Wenhua,You Feng.The method of singal-line public transportation OD base on GPS and intelligent card[J].Microcomputer Information,2008,24(22):221-222.
[3] 吴祥国.基于公交IC卡和GPS数据的居民公交出行OD举证推导与应用[D].济南:山东大学,2008.
Wu Xiangguo.Urban Public Transportation Trip OD Matrix Inference and Application based on Bus IC Card Data and GPS Data[D].Jinan:Shandong University,2008.
[4] 尹长勇,陈艳艳,陈绍辉.基于聚类分析方法的公交站点客流匹配方法研究[J].交通信息与安全,2010,28(3):21-24.
Yin Changyong,Chen Yanyan,Chen Shaohui.Bus station passenger matching method based on cluster analysis method[J].Journal of Transport Information and Safety,2010,28(3):21-24.
[5] 周锐.基于IC卡数据的公交站点客流推算方法[D].北京:北京交通大学,2012.
Zhou Rui.Passenger Flow Calculation for Bus Stations Based on IC Card Data [D].Beijing:Beijing Jiaotong University,2012.
[6] 窦慧丽,刘好德,杨晓光.基于站点上下客人数的公交客流OD反推方法研究[J].交通与计算机,2007,25(2):79-82.
Dou Huili,Liu Haode,Yang Xiaoguang.OD matrix estimation method of public transportation flow based on passenger boarding and alighting [J].Computer and Communications,2007,25(2):79-82.
[7] 戴维.基于IC卡数据和公交车GPS信息的公交OD矩阵推算[D] .武汉:华中科技大学,2009.
Dai Wei.Transit OD Matrix Reckoning Based on IC Card Data and Bus GPS Information[D].Wuhan:Huazhong University of Science & Technology,2009.
[8] 师富民.基于IC卡数据的公交OD矩阵构造方法研究[D].长春:吉林大学,2004.
Shi Fumin.The Research of the Method of Generating the Public Transport Travel OD Matrix Based on the Data of IC card[D].Changchun:Jilin University,2004.
[9] 舒国辉.基于数据挖掘的公交客流规律研究[D].北京:北京交通大学,2009.
Shu Guohui.The Research on the Rules of Public Transport Passenger Flow Based on Data Mining[D].Beijing:Beijing Jiaotong University,2009.
[10]吴子啸,任西锋,胡静宇.基于GPS数据和IC卡数据的综合交通建模新思路[J].城市交通,2011(1):47-51.
Wu Zixiao.Ren Xifeng,Hu Jingyu.Comprehensive transportation modeling with information from GPS and IC card on public transit vehicles [J].Urban Transport of China,2011(1):47-51.
[11]周涛,翟长旭,高志刚.基于公交IC卡数据的OD推算技术研究[J].城市交通,2007(3):48-52.
Zhou Tao,Zhai Changxu,Gao Zhigang.Approaching bus OD matrices based on data reduced from bus IC cards [J].Urban Transport of China,2007(3):48-52.
[12]于勇,邓天民,肖裕民.一种新的公交乘客上车站点确定方法[J].重庆交通大学学报:自然科学版,2009,28 (1):121-125.
Yu Yong,Deng Tianmin,Xiao Yumin.A novel method of confirming the boarding station of bus holders[J].Journal of Chongqing Jiaotong University:Natural Science,2009,28(1):121-125.

[1]	TANG Jiqiang1,2, ZHONG Xinwei2, LIU Jian1, LI Tianrui3. Short Term Forecast of Rail Transit Passenger Flow Based on Time Series Seasonal Classification Model [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(07): 31-38.
[2]	QI Chunhua, WANG Xiaonan, ZHU Shoulin, LI Hangtian. Traffic Engineering Facility Information Threshold Based on Drivers Visual Area of Interest [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(07): 53-60.
[3]	DENG Tianmin1, ZHU Jie2, ZHU Kaijia1, QU Zhihua3. Driving Style Recognition Method Based on iForest and Bisecting K-means Combined Algorithm [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(06): 1-6.
[4]	XU Maozeng, ZHANG Li. Identification of Road Section Congestion Influence Based on Bijective Soft Decision Theory [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(06): 7-11.
[5]	WANG Tao1, XIE Sihong1, LI Wenhao1,2, LI Wenyong1. Short-Term Traffic Flow Adaptive Prediction Model Based on FFOS-ELM and PF [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(06): 21-27.
[6]	ZHANG Cheng1, WANG Chengyin1, CHEN Zhiwei2, ZHANG Zhengxiang3, ZHANG Zilei3. Mining Method of Key Nodes of Urban Road Network Based on Spatial-Flow Degree [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(06): 28-35.
[7]	WANG Yonggang, ZHANG Heng, PENG Zhipeng, ZHOU Wanqi. Analysis of Influencing Factors of Taxi Accidents Based on Structural Equation Model [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(06): 36-42.
[8]	ZHU Shunyin, LI Weiji, LIN Xiaoyuan, XIAO Wenbin, WANG Hong. Setting No Re-inspection Control Point for Tourist Vehicles in Characteristic Towns [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(06): 52-58.
[9]	PAN Binghong1,2, HU Wei1, REN Hui1, SHAN Huimin1. Truck Side-Slip Velocity Model in Curve Road Section Based on TruckSim Simulation [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(05): 38-45.
[10]	WU Wenjing, SUN Renchao, ZONG Fang, JIA Hongfei. Subjective Attitude Identification and Impact Analysis of Residents Low-Carbon Commuting Travel [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(05): 53-58.
[11]	LI Jun, DENG Yuxin. Cluster Analysis of Taxi Spatiotemporal Behavior Based on Non-negative Matrix Factorization [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(05): 59-65.
[12]	CHENG Wei1, LIU Xiang1, LEI Jianming2. Optimization of Cycle Length of Intersection Signal Based on RBF Neural Network Prediction [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(04): 13-18.
[13]	SHI Tianliang, WANG Wenguang. Information View and Particle Swarm Optimization Algorithm in Urban Traffic Congestion [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(04): 19-25.
[14]	HE Yulong1, 2, LIU Lei1,2, CHI Jiaxin1,2. Risk of Vehicle Lane Change Behavior on Highway [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(04): 26-33.
[15]	WANG Lu1, CHEN Xiaoxin2, LI Huaen1. Critical Speed of Vehicles Running Stably on Expressway in the Weather of Rain and Snow under Strong Wind [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(04): 34-40.

OD Matrix Inference for Urban Public Transportation Trip Based on GPS and IC Card Data

基于GPS和IC卡数据的公交出行OD推算方法

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics