Li et al., 2015 - Google Patents

Robust inferences of travel paths from GPS trajectories

Li et al., 2015

Document ID
16699804750060307181
Author
Li H
Kulik L
Ramamohanarao K
Publication year
Publication venue
International Journal of Geographical Information Science

External Links

Snippet

Monitoring and predicting traffic conditions are of utmost importance in reacting to emergency events in time and for computing the real-time shortest travel-time path. Mobile sensors, such as GPS devices and smartphones, are useful for monitoring urban traffic due …
Continue reading at www.tandfonline.com (other versions)

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
    • 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
    • G06F17/30241—Information retrieval; Database structures therefor; File system structures therefor in geographical information databases
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations

Similar Documents

Publication Publication Date Title
Yang et al. Fast map matching, an algorithm integrating hidden Markov model with precomputation
Li et al. Robust inferences of travel paths from GPS trajectories
Zheng Trajectory data mining: an overview
Chen et al. Map-matching algorithm for large-scale low-frequency floating car data
Ranacher et al. How to compare movement? A review of physical movement similarity measures in geographic information science and beyond
Pelekis et al. Mobility data management and exploration
Wang et al. A novel approach for generating routable road maps from vehicle GPS traces
Deng et al. Generating urban road intersection models from low-frequency GPS trajectory data
Yuan et al. An interactive-voting based map matching algorithm
Lv et al. The discovery of personally semantic places based on trajectory data mining
Chen et al. Mining moving patterns for predicting next location
Krumm et al. From destination prediction to route prediction
Sun et al. An overview of moving object trajectory compression algorithms
CN110188093A (en) A kind of data digging system being directed to AIS information source based on big data platform
Rossi et al. Vehicle trajectory prediction and generation using LSTM models and GANs
Alsahfi et al. A survey on trajectory data warehouse
Li et al. A trajectory restoration algorithm for low-sampling-rate floating car data and complex urban road networks
Cesario et al. An approach for the discovery and validation of urban mobility patterns
CN110598917B (en) Destination prediction method, system and storage medium based on path track
Bermingham et al. Mining place-matching patterns from spatio-temporal trajectories using complex real-world places
George et al. Spatio-temporal event detection using poisson model and quad-tree on geotagged social media
Qian et al. Vehicle trajectory modelling with consideration of distant neighbouring dependencies for destination prediction
Sun et al. Predicting future locations with semantic trajectories
Gao et al. Semantic trajectory segmentation based on change-point detection and ontology
US20190200167A1 (en) Entity tracking