Huang et al., 2018 - Google Patents
Frequent pattern-based map-matching on low sampling rate trajectoriesHuang et al., 2018
View PDF- Document ID
- 4986116270913502693
- Author
- Huang Y
- Rao W
- Zhang Z
- Zhao P
- Yuan M
- Zeng J
- Publication year
- Publication venue
- 2018 19th IEEE International Conference on Mobile Data Management (MDM)
External Links
Snippet
Map-matching is an important preprocessing task for many location-based services (LBS). It projects each GPS point in trajectory data onto digital maps. The state of art work typically employed the Hidden Markov model (HMM) by shortest path computation. Such shortest …
- 238000005070 sampling 0 title abstract description 40
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
- G06F17/30386—Retrieval requests
- G06F17/30424—Query processing
- G06F17/30533—Other types of queries
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in preceding groups
- G01C21/26—Navigation; Navigational instruments not provided for in preceding groups specially adapted for navigation in a road network
- G01C21/28—Navigation; Navigational instruments not provided for in preceding groups specially adapted for navigation in a road network with correlation of data from several navigational instruments
- G01C21/30—Map- or contour-matching
- G01C21/32—Structuring or formatting of map data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
- G06F17/30312—Storage and indexing structures; Management thereof
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in preceding groups
- G01C21/26—Navigation; Navigational instruments not provided for in preceding groups specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3453—Special cost functions, i.e. other than distance or default speed limit of road segments
- G01C21/3492—Special cost functions, i.e. other than distance or default speed limit of road segments employing speed data or traffic data, e.g. real-time or historical
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30241—Information retrieval; Database structures therefor; File system structures therefor in geographical information databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30861—Retrieval from the Internet, e.g. browsers
- G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
- G06F17/3087—Spatially dependent indexing and retrieval, e.g. location dependent results to queries
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30943—Information retrieval; Database structures therefor; File system structures therefor details of database functions independent of the retrieved data type
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in preceding groups
- G01C21/20—Instruments for performing navigational calculations
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US11562168B2 (en) | Clustering for K-anonymity in location trajectory data | |
Yang et al. | Fast map matching, an algorithm integrating hidden Markov model with precomputation | |
Rathore et al. | A scalable framework for trajectory prediction | |
Lou et al. | Map-matching for low-sampling-rate GPS trajectories | |
Han et al. | Neat: Road network aware trajectory clustering | |
US9062985B2 (en) | Efficient K-nearest neighbor search in time-dependent spatial networks | |
CN103245347B (en) | Based on intelligent navigation method and the system of road condition predicting | |
US10546043B1 (en) | Triangulation for K-anonymity in location trajectory data | |
CN102810118B (en) | A kind of change weighs net K nearest neighbor search method | |
Sandu Popa et al. | Spatio-temporal compression of trajectories in road networks | |
Huang et al. | Frequent pattern-based map-matching on low sampling rate trajectories | |
CN112182410A (en) | User travel mode mining method based on space-time trajectory knowledge graph | |
US20240142242A1 (en) | Route deviation quantification and vehicular route learning based thereon | |
Xu et al. | DESTPRE: a data-driven approach to destination prediction for taxi rides | |
Shang et al. | Finding traffic-aware fastest paths in spatial networks | |
Ozdemir et al. | A hybrid HMM model for travel path inference with sparse GPS samples | |
Hu et al. | Pick-up tree based route recommendation from taxi trajectories | |
Lin et al. | Noise filtering, trajectory compression and trajectory segmentation on GPS data | |
Lu et al. | Mining fastest path from trajectories with multiple destinations in road networks | |
CN112579921B (en) | Track indexing and query method and system based on inverted sorting index and prefix tree | |
Dai et al. | Context-based moving object trajectory uncertainty reduction and ranking in road network | |
Gupta et al. | Study of fuzzy logic and particle swarm methods in map matching algorithm | |
Meng et al. | Moving objects management | |
Amirat et al. | Nextroute: a lossless model for accurate mobility prediction | |
Wu et al. | A heuristic map-matching algorithm by using vector-based recognition |