NL2035432A - Computer-implemented method for identifying origin of goods by fusing truck trajectory and poi data - Google Patents
Computer-implemented method for identifying origin of goods by fusing truck trajectory and poi data Download PDFInfo
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- NL2035432A NL2035432A NL2035432A NL2035432A NL2035432A NL 2035432 A NL2035432 A NL 2035432A NL 2035432 A NL2035432 A NL 2035432A NL 2035432 A NL2035432 A NL 2035432A NL 2035432 A NL2035432 A NL 2035432A
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- 238000000034 method Methods 0.000 title claims abstract description 40
- 238000012216 screening Methods 0.000 claims abstract description 13
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- 238000007781 pre-processing Methods 0.000 claims abstract description 8
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/211—Selection of the most significant subset of features
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/40—Data acquisition and logging
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/23—Clustering techniques
- G06F18/232—Non-hierarchical techniques
- G06F18/2321—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions
- G06F18/23213—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions with fixed number of clusters, e.g. K-means clustering
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/25—Fusion techniques
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- 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
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
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- 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
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/083—Shipping
- G06Q10/0833—Tracking
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/10—Internal combustion engine [ICE] based vehicles
- Y02T10/40—Engine management systems
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- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Economics (AREA)
- Evolutionary Biology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Bioinformatics & Computational Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Evolutionary Computation (AREA)
- Artificial Intelligence (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Human Resources & Organizations (AREA)
- Development Economics (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Probability & Statistics with Applications (AREA)
- Computer Hardware Design (AREA)
- Databases & Information Systems (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Traffic Control Systems (AREA)
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210861935.3A CN116029624B (zh) | 2022-07-21 | 2022-07-21 | 一种融合货车轨迹和poi数据的货源地识别方法 |
Publications (1)
Publication Number | Publication Date |
---|---|
NL2035432A true NL2035432A (en) | 2024-01-29 |
Family
ID=86080156
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
NL2035432A NL2035432A (en) | 2022-07-21 | 2023-07-20 | Computer-implemented method for identifying origin of goods by fusing truck trajectory and poi data |
Country Status (2)
Country | Link |
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CN (1) | CN116029624B (zh) |
NL (1) | NL2035432A (zh) |
Family Cites Families (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8543320B2 (en) * | 2011-05-19 | 2013-09-24 | Microsoft Corporation | Inferring a behavioral state of a vehicle |
CN105590346B (zh) * | 2016-02-18 | 2018-01-16 | 华南理工大学 | 基于路径识别系统的收费公路网交通信息采集与诱导系统 |
CN109686085B (zh) * | 2018-12-17 | 2020-05-05 | 北京交通大学 | 基于gps数据危险货物运输车辆停留节点活动类型识别方法 |
CN109885639B (zh) * | 2019-03-21 | 2022-12-23 | 江苏智通交通科技有限公司 | 可视化的出租车上下车特征分析方法 |
CN112270460B (zh) * | 2020-09-30 | 2023-10-27 | 交通运输部规划研究院 | 一种基于多源数据的超重货车货源站点识别方法 |
CN112382083A (zh) * | 2020-10-13 | 2021-02-19 | 厦门市交通研究中心 | 一种基于gps数据的货运交通od分析方法、装置及设备 |
CN112613939A (zh) * | 2020-12-14 | 2021-04-06 | 北京优挂信息科技有限公司 | 一种车辆装卸状态的识别方法、装置、存储介质及终端 |
CN113011815A (zh) * | 2021-03-11 | 2021-06-22 | 深圳市城市交通规划设计研究中心股份有限公司 | 一种货车停靠点提取方法和出行特征确定方法、装置 |
CN114298642A (zh) * | 2021-12-31 | 2022-04-08 | 北京交通大学 | 从轨迹数据中提取城市内货车出行od的方法 |
-
2022
- 2022-07-21 CN CN202210861935.3A patent/CN116029624B/zh active Active
-
2023
- 2023-07-20 NL NL2035432A patent/NL2035432A/en unknown
Also Published As
Publication number | Publication date |
---|---|
CN116029624B (zh) | 2024-02-06 |
CN116029624A (zh) | 2023-04-28 |
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