Nothing Special   »   [go: up one dir, main page]

Ma et al., 2015 - Google Patents

Mobility viewer: An Eulerian approach for studying urban crowd flow

Ma et al., 2015

View PDF
Document ID
10193041721158855561
Author
Ma Y
Lin T
Cao Z
Li C
Wang F
Chen W
Publication year
Publication venue
IEEE Transactions on Intelligent Transportation Systems

External Links

Snippet

Studying human movement citywide is important for understanding mobility and transportation patterns. Rather than investigating the trajectories of individuals, we employ an Eulerian approach to analyze the crowd flows among a geographical network and a …
Continue reading at citeseerx.ist.psu.edu (PDF) (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
    • G06F17/30943—Information retrieval; Database structures therefor; File system structures therefor details of database functions independent of the retrieved data type
    • G06F17/30994—Browsing or visualization
    • 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
    • G06Q30/00—Commerce, e.g. shopping or e-commerce
    • G06Q30/02—Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
    • G06Q30/0202—Market predictions or demand forecasting
    • G06Q30/0204—Market segmentation
    • G06Q30/0205—Location or geographical consideration
    • 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
    • G06F17/30587—Details of specialised database models
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation
    • G06T11/20—Drawing from basic elements, e.g. lines or circles
    • G06T11/206—Drawing of charts or graphs
    • 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
    • G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063—Operations research or analysis
    • 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
    • G06F17/10—Complex mathematical operations
    • 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
    • G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • G06Q50/01—Social networking
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications

Similar Documents

Publication Publication Date Title
Ma et al. Mobility viewer: An Eulerian approach for studying urban crowd flow
Chen et al. VAUD: A visual analysis approach for exploring spatio-temporal urban data
Ferreira et al. Vector field k‐means: Clustering trajectories by fitting multiple vector fields
Wu et al. Telcovis: Visual exploration of co-occurrence in urban human mobility based on telco data
Yu et al. Urban network-wide traffic speed estimation with massive ride-sourcing GPS traces
Huang et al. Modeling and visualizing regular human mobility patterns with uncertainty: An example using Twitter data
Zheng et al. Visual analytics in urban computing: An overview
Chen et al. A survey of traffic data visualization
Cao et al. A scalable framework for spatiotemporal analysis of location-based social media data
Wang et al. Visual exploration of sparse traffic trajectory data
Gao Spatio-temporal analytics for exploring human mobility patterns and urban dynamics in the mobile age
Zhi et al. Latent spatio-temporal activity structures: A new approach to inferring intra-urban functional regions via social media check-in data
Andrienko et al. Visual analytics of movement: An overview of methods, tools and procedures
Zhang et al. City-scale social event detection and evaluation with taxi traces
Guo et al. A graph-based approach to vehicle trajectory analysis
Scholz et al. Detection of dynamic activity patterns at a collective level from large-volume trajectory data
CN109493119B (en) POI data-based urban business center identification method and system
Wu et al. Spatial–temporal visualization of city-wide crowd movement
Zhao et al. A network distance and graph-partitioning-based clustering method for improving the accuracy of urban hotspot detection
Shi et al. Detecting anomalies in spatio-temporal flow data by constructing dynamic neighbourhoods
Bordogna et al. Clustering geo-tagged tweets for advanced big data analytics
Afzal et al. The state of the art in visual analysis approaches for ocean and atmospheric datasets
Bordogna et al. An interoperable open data framework for discovering popular tours based on geo-tagged tweets
Zeng et al. Modeling spatial nonstationarity via deformable convolutions for deep traffic flow prediction
Liu et al. BiFlowAMOEBA for the identification of arbitrarily shaped clusters in bivariate flow data