AU2019100989A4 - Global dynamic travel demand estimation method based on multi-source traffic data - Google Patents

Global dynamic travel demand estimation method based on multi-source traffic data Download PDF

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Publication number
AU2019100989A4
AU2019100989A4 AU2019100989A AU2019100989A AU2019100989A4 AU 2019100989 A4 AU2019100989 A4 AU 2019100989A4 AU 2019100989 A AU2019100989 A AU 2019100989A AU 2019100989 A AU2019100989 A AU 2019100989A AU 2019100989 A4 AU2019100989 A4 AU 2019100989A4
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travel
traffic
data
resident
time window
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AU2019100989A
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Zhiren Huang
Pu Wang
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Central South University
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Central South University
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    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125Traffic data processing
    • G08G1/0129Traffic data processing for creating historical data or processing based on historical data
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/26Government or public services

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  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Engineering & Computer Science (AREA)
  • Tourism & Hospitality (AREA)
  • Development Economics (AREA)
  • Educational Administration (AREA)
  • Economics (AREA)
  • General Physics & Mathematics (AREA)
  • Strategic Management (AREA)
  • Physics & Mathematics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • General Business, Economics & Management (AREA)
  • Theoretical Computer Science (AREA)
  • Marketing (AREA)
  • Chemical & Material Sciences (AREA)
  • Game Theory and Decision Science (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Analytical Chemistry (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Traffic Control Systems (AREA)
  • Mobile Radio Communication Systems (AREA)
AU2019100989A 2018-08-30 2019-01-24 Global dynamic travel demand estimation method based on multi-source traffic data Ceased AU2019100989A4 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201811000204.XA CN108877227B (zh) 2018-08-30 2018-08-30 一种基于多源交通数据的全局动态出行需求估计方法
CN201811000204.X 2018-08-30

Publications (1)

Publication Number Publication Date
AU2019100989A4 true AU2019100989A4 (en) 2019-10-10

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AU2019100989A Ceased AU2019100989A4 (en) 2018-08-30 2019-01-24 Global dynamic travel demand estimation method based on multi-source traffic data

Country Status (3)

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CN (1) CN108877227B (zh)
AU (1) AU2019100989A4 (zh)
WO (1) WO2020042536A1 (zh)

Families Citing this family (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108877227B (zh) * 2018-08-30 2020-06-02 中南大学 一种基于多源交通数据的全局动态出行需求估计方法
CN109686090B (zh) * 2019-01-17 2020-03-27 中南大学 一种基于多源数据融合的虚拟交通流量计算方法
CN109686091B (zh) * 2019-01-17 2020-07-14 中南大学 一种基于多源数据融合的交通流量填补算法
CN111341135B (zh) * 2019-12-24 2021-05-14 中山大学 基于兴趣点及导航数据的手机信令数据出行方式识别方法
CN111476494B (zh) * 2020-04-11 2023-05-23 重庆交通开投科技发展有限公司 基于多源数据精准分析公交人口地理分布的方法
CN112711576B (zh) * 2020-12-11 2023-03-10 上海城市交通设计院有限公司 一种识别手机信令数据高铁、飞机城际出行方式的方法
CN113312469B (zh) * 2021-04-29 2022-11-04 东南大学 一种基于lda主题模型的居民出行规律分析方法
CN114399233B (zh) * 2022-03-25 2022-06-07 南京大学 基于深度学习和od补全的交通规划方法及装置
CN115062873B (zh) * 2022-08-12 2022-12-09 北京大学 交通出行方式预测方法和装置、存储介质及电子设备
CN116206452B (zh) * 2023-05-04 2023-08-15 北京城建交通设计研究院有限公司 一种城市交通出行的稀疏数据特征分析方法和系统

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102595323B (zh) * 2012-03-20 2014-05-07 北京交通发展研究中心 基于手机定位数据的居民出行特征参数的获取方法
EP2915151A1 (en) * 2012-11-05 2015-09-09 Telefonaktiebolaget LM Ericsson (PUBL) Handling location data in a mobile communications network
US10037689B2 (en) * 2015-03-24 2018-07-31 Donald Warren Taylor Apparatus and system to manage monitored vehicular flow rate
CN103279534B (zh) * 2013-05-31 2016-06-01 西安建筑科技大学 基于智能公交系统数据的公交卡乘客通勤od分布估计方法
CN105513348B (zh) * 2015-11-27 2018-04-24 西南交通大学 基于手机信令出行链的od矩阵获取方法
CN105809962A (zh) * 2016-06-13 2016-07-27 中南大学 一种基于手机数据的交通出行方式划分的方法
CN108877227B (zh) * 2018-08-30 2020-06-02 中南大学 一种基于多源交通数据的全局动态出行需求估计方法

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WO2020042536A1 (zh) 2020-03-05
CN108877227A (zh) 2018-11-23
CN108877227B (zh) 2020-06-02

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