基于一卡通数据的公交站点识别方法分析与研究

谢振东; 冷梦甜; 吴金成

doi:10.12052/gdutxb.180099

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基于一卡通数据的公交站点识别方法分析与研究

综合研究 | 更新时间：2026-05-27

- 基于一卡通数据的公交站点识别方法分析与研究
- A Study of the Method of Bus Station Recognition Based on IC Card Data
- 广东工业大学学报 2019年36卷第1期页码：23-28
- 作者机构：
  
  广东岭南通股份有限公司,广东,广州,510000
- 作者简介：
  
  谢振东(1966−)，男，教授级高级工程师，博士，主要研究方向为智能交通规划、一卡通大数据研究
  冷梦甜(1991−)，男，工程师，硕士，主要研究方向为一卡通大数据分析. E-mail: lengmt@lingnanpass.com
- 基金信息：
  
  广州市产学研协同创新重大专项产业技术研究专题项目(201604010102)
- DOI：10.12052/gdutxb.180099
  中图分类号： U491.1
- 网络首发：2019-01-25，
  
  纸质出版：2019
- 稿件说明：
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谢振东, 冷梦甜, 吴金成. 基于一卡通数据的公交站点识别方法分析与研究[J]. 广东工业大学学报, 2019, 36(1): 23-28.

Xie Zhen-dong, Leng Meng-tian, Wu Jin-cheng. A Study of the Method of Bus Station Recognition Based on IC Card Data[J]. 2019, 36(1): 23-28.
谢振东, 冷梦甜, 吴金成. 基于一卡通数据的公交站点识别方法分析与研究[J]. 广东工业大学学报, 2019, 36(1): 23-28. DOI： 10.12052/gdutxb.180099.

Xie Zhen-dong, Leng Meng-tian, Wu Jin-cheng. A Study of the Method of Bus Station Recognition Based on IC Card Data[J]. 2019, 36(1): 23-28. DOI： 10.12052/gdutxb.180099.

摘要

针对大众公共交通高峰期部分站点上车难等问题

通过分析一卡通大数据来推断上车站点客流

提前预知客流分布状况

以缓解城市公共交通出行压力. 本文采取了一种基于IC卡数据的聚类分析方法

建立了数据模型来推算上下班高峰期公交线路站点的客流

并对测算结果进行对比分析. 最后提出包括开行区间车、大站快车等改善交通运营的相关措施

为城市交通部门的公交线路设计和综合交通规划提供一定的指引

确保城市居民日常乘车的便捷性和舒适性.

Abstract

With the rapid growth of urban population

the travel demand of public transportation of citizens also rises

which easily causes problems such as difficulty in getting on at some stations during rush hours. It is of great significance to relieve the pressure of urban public transportation by analyzing the big data of IC card to deduce the passenger flow at the boarding station and predict the distribution of passenger flow in advance. For more targeted research on dynamic passenger flow distribution of stations

a kind of clustering analysis method is adopted based on IC card data

through the establishment of data model of bus lines and stations of rush hour traffic

to analyze the measured results

and finally measures are put forward to improve traffic operation

including dispatching station express

shuttle bus and other measures

ensuring urban residents ease and comfort in daily bus ride and at the same time providing guidance for the city traffic department on bus lines design and comprehensive transport planning.

关键词

Keywords

references

谢振东, 方秋水, 徐锋等. 城市交通一卡通技术与应用[M]. 北京: 人民交通出版社, 2014: 17-20.

WU J C, XIE Z D, WU G H. A study of traffic status and dynamic control based on IC card data [J]. Journal of Guangdong University of Technology, 2017, 34(3): 77-82.

LAMOND B, STEWARD N F. Bergman S balancing method [J]. Transportation Research Part B: Methodological, 1981, 15(4): 239-248.

TREPANIER M, MORENCY C. Calculation of transit performance measures using smart card data [J]. Journal of Public Transportation, 2009, 12(1): 79-96.

BARRY J J, FREIMER R, SLAVIN H L. Use of entry-only automatic fare collection data to estimate linked transit trips in New York city [J]. Transportation Research Record Journal of the Transportation Research Board, 2009(2112): 53-61.

郭婕, 陈学武. 公交IC卡乘客上车站点确定方法及其应用[C]//第一届中国智能交通年会论文集. 上海: 同济大学出版社, 2005:195-201.

YU Y, DENG T M, XIAO Y M. A new method for determining the arrival site of bus passengers [J]. Journal of Chongqing Jiaotong University(Natural Science), 2009, 28(1): 121-125.

蔡圻钊. 基于智能公交信息服务的网络安全接入与数据分析研究[D]. 广州: 广东工业大学自动化学院, 2016.

DAI X, CHEN X W, LI W Y. Study on data mining technique for bus intelligent card data processing [J]. Traffic and Computer, 2006, 24(1): 40-42.

刘雪琴. 基于交通一卡大数据的公客流分析与预测[D]. 广州: 广东工业大学自动化学院, 2016.

CHEN X W, DAI X, CHEN Q. Approach on the information collection, analysis and application of bus intelligent card [J]. China Civil Engineering Journal, 2004, 37(2): 105-110.

LUO Q, HE L L, WANG X F. Data cleaning technology in data warehouse [J]. Computer Programming Skills and Maintenance, 2015(2): 61-61.

XIE Z D, WU J C, LIU X Q. Study on the characteristics of urban elderly travel behavior based on traffic card [J]. Golden Card Project, 2015(10): 18-20.

XIE Z D, LIU X Q, WU J C. A study of passenger flow prediction based on IC card data [J]. Journal of Guangdong University of Technology, 2018, 35(1): 16-22.

谢振东, 李之明, 徐锋等. 城市交通一卡通大数据应用[M]. 北京: 人民交通出版社, 2016: 171-188.

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