Wu et al., 2022 - Google Patents

Travel mode classification based on GNSS trajectories and open geospatial data

Wu et al., 2022

Document ID
6130873321258888836
Author
Wu H
Jin H
Xu Z
Liu C
Li J
Huang W
Publication year
Publication venue
Transactions in GIS

External Links

Snippet

Accurate travel modes inferred from global navigation satellite system (GNSS) trajectory data can be instrumental to city development, such as travel planning and modeling and traffic flow prediction. With the advancement of mobile sensors, the Internet, and GNSS …
Continue reading at onlinelibrary.wiley.com (other versions)

Classifications

    • 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
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in preceding groups
    • G01C21/26Navigation; Navigational instruments not provided for in preceding groups specially adapted for navigation in a road network
    • G01C21/34Route searching; Route guidance
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in preceding groups
    • G01C21/26Navigation; Navigational instruments not provided for in preceding groups specially adapted for navigation in a road network
    • G01C21/28Navigation; Navigational instruments not provided for in preceding groups specially adapted for navigation in a road network with correlation of data from several navigational instruments
    • G01C21/30Map- or contour-matching
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30861Retrieval from the Internet, e.g. browsers
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in preceding groups
    • G01C21/20Instruments for performing navigational calculations
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/20Monitoring the location of vehicles belonging to a group, e.g. fleet of vehicles, countable or determined number of vehicles
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA 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
    • G06Q30/00Commerce, e.g. shopping or e-commerce
    • G06Q30/02Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA 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
    • G06Q10/00Administration; Management
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass

Similar Documents

Publication Publication Date Title
Stenneth et al. Transportation mode detection using mobile phones and GIS information
Li et al. Understanding intra-urban human mobility through an exploratory spatiotemporal analysis of bike-sharing trajectories
Li et al. Transportation mode identification with GPS trajectory data and GIS information
Leung et al. Urban analytics of big transportation data for supporting smart cities
Chen et al. Nlpmm: A next location predictor with markov modeling
CA3061281C (en) Verifying sensor data using embeddings
Gong et al. Identification of activity stop locations in GPS trajectories by density-based clustering method combined with support vector machines
Sadeghian et al. Review and evaluation of methods in transport mode detection based on GPS tracking data
Ganti et al. Inferring human mobility patterns from taxicab location traces
Ding et al. Towards generating network of bikeways from Mapillary data
Lee et al. Automatic physical activity and in‐vehicle status classification based on GPS and accelerometer data: A hierarchical classification approach using machine learning techniques
Nguyen et al. Hierarchical process of travel mode imputation from GPS data in a motorcycle-dependent area
Roy et al. Assessing the role of geographic context in transportation mode detection from GPS data
Yuan et al. Space-time analytics of tracks for the understanding of patterns of life
Wang et al. Traffic speed estimation based on multi-source GPS data and mixture model
Guo et al. Mass rapid transit ridership forecast based on direct ridership models: A case study in Wuhan, China
Stenneth et al. Monitoring and mining GPS traces in transit space
Wu et al. Online map-matching assisted by object-based classification of driving scenario
Wu et al. Travel mode classification based on GNSS trajectories and open geospatial data
Chen et al. Toiletbuilder: A pu-learning-based model for selecting new public toilet locations
Qian et al. Exploring the potential role of bikeshare to complement public transit: The case of San Francisco amid the coronavirus crisis
Berjisian et al. Evaluation of map‐matching algorithms for smartphone‐based active travel data
Liu et al. Using trajectory data to explore roadway characterization for bikeshare network
Jin et al. Travel-mode classification based on GPS-trajectory data and geographic information using an XGBoost classifier
Hu et al. Evaluating Bicycling Environments with Trajectory Data on Shared Bikes: A Case Study of Beijing