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 PDFInfo
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- 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
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- 238000000034 method Methods 0.000 title claims abstract description 30
- 230000011664 signaling Effects 0.000 claims abstract description 22
- 230000002354 daily effect Effects 0.000 claims description 8
- 230000000694 effects Effects 0.000 claims description 8
- 230000003203 everyday effect Effects 0.000 claims description 8
- 238000010606 normalization Methods 0.000 claims description 6
- 230000004069 differentiation Effects 0.000 claims description 4
- 230000008569 process Effects 0.000 claims description 3
- 230000008447 perception Effects 0.000 abstract description 7
- 238000007726 management method Methods 0.000 abstract description 6
- 230000004927 fusion Effects 0.000 abstract description 5
- 230000003068 static effect Effects 0.000 abstract description 3
- 238000009826 distribution Methods 0.000 description 9
- 238000010586 diagram Methods 0.000 description 4
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 238000005070 sampling Methods 0.000 description 2
- 238000007792 addition Methods 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 238000013075 data extraction Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000000116 mitigating effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 238000012827 research and development Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0129—Traffic data processing for creating historical data or processing based on historical data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government 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)
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 |
Family
ID=64322256
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
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)
Country | Link |
---|---|
CN (1) | CN108877227B (zh) |
AU (1) | AU2019100989A4 (zh) |
WO (1) | WO2020042536A1 (zh) |
Families Citing this family (10)
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)
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 |
-
2018
- 2018-08-30 CN CN201811000204.XA patent/CN108877227B/zh active Active
-
2019
- 2019-01-24 AU AU2019100989A patent/AU2019100989A4/en not_active Ceased
- 2019-01-24 WO PCT/CN2019/072878 patent/WO2020042536A1/zh active Application Filing
Also Published As
Publication number | Publication date |
---|---|
WO2020042536A1 (zh) | 2020-03-05 |
CN108877227A (zh) | 2018-11-23 |
CN108877227B (zh) | 2020-06-02 |
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Legal Events
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FGI | Letters patent sealed or granted (innovation patent) | ||
MK22 | Patent ceased section 143a(d), or expired - non payment of renewal fee or expiry |