[go: up one dir, main page]

Duan et al., 2011 - Google Patents

MobilePulse: Dynamic profiling of land use pattern and OD matrix estimation from 10 million individual cell phone records in Shanghai

Duan et al., 2011

Document ID
12734276123492613196
Author
Duan Z
Liu L
Wang S
Publication year
Publication venue
2011 19th International Conference on Geoinformatics

External Links

Snippet

In this paper, we present a new method for dynamically profiling land use pattern and generating Origin-Destination matrices from millions of individual mobile phone traces. It is based on analyzing individual anonymzed mobile phone call records. Starting from these …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • 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
    • G06Q10/0639—Performance analysis
    • 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
    • G01S5/02—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using radio waves
    • G01S5/0205—Details
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • 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
    • 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
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATIONS NETWORKS
    • H04W4/00—Mobile application services or facilities specially adapted for wireless communication networks
    • H04W4/02—Mobile application Services making use of the location of users or terminals, e.g. OMA SUPL, OMA MLP or 3GPP LCS
    • H04W4/025—Mobile application Services making use of the location of users or terminals, e.g. OMA SUPL, OMA MLP or 3GPP LCS using location based information parameters
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATIONS NETWORKS
    • H04W4/00—Mobile application services or facilities specially adapted for wireless communication networks
    • H04W4/02—Mobile application Services making use of the location of users or terminals, e.g. OMA SUPL, OMA MLP or 3GPP LCS
    • H04W4/023—Mobile application Services making use of the location of users or terminals, e.g. OMA SUPL, OMA MLP or 3GPP LCS using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds
    • 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
    • G06Q50/30—Transportation; Communications
    • G06Q50/32—Post and telecommunications

Similar Documents

Publication Publication Date Title
Fekih et al. A data-driven approach for origin–destination matrix construction from cellular network signalling data: a case study of Lyon region (France)
Bonnel et al. Passive mobile phone dataset to construct origin-destination matrix: potentials and limitations
Gundlegård et al. Travel demand estimation and network assignment based on cellular network data
Calabrese et al. Estimating Origin-Destination flows using opportunistically collected mobile phone location data from one million users in Boston Metropolitan Area
Jiang et al. Activity-based human mobility patterns inferred from mobile phone data: A case study of Singapore
Monz et al. Using Mobile Device Data to Estimate Visitation in Parks and Protected Areas: An Example from the Nature Reserve of Orange County, California.
Wang et al. Estimating dynamic origin-destination data and travel demand using cell phone network data
Janzen et al. Closer to the total? Long-distance travel of French mobile phone users
Widhalm et al. Discovering urban activity patterns in cell phone data
Caceres et al. Traffic flow estimation models using cellular phone data
Becker et al. Route classification using cellular handoff patterns
Calabrese et al. Understanding individual mobility patterns from urban sensing data: A mobile phone trace example
Demissie et al. Trip distribution modeling using mobile phone data: Emphasis on intra-zonal trips
Bonnel et al. Origin-Destination estimation using mobile network probe data
Duan et al. MobilePulse: Dynamic profiling of land use pattern and OD matrix estimation from 10 million individual cell phone records in Shanghai
Vajakas et al. Trajectory reconstruction from mobile positioning data using cell-to-cell travel time information
Guo et al. Enhanced least square based dynamic OD matrix estimation using radio frequency identification data
Imai et al. Origin-destination trips generated from operational data of a mobile network for urban transportation planning
Miller et al. Scaling GPS trajectories to match point traffic counts: A convex programming approach and Utah case study
Chen et al. Data‐Driven Prediction System of Dynamic People‐Flow in Large Urban Network Using Cellular Probe Data
Bwambale et al. Modelling departure time choice using mobile phone data
Di Lorenzo et al. Identifying human spatio-temporal activity patterns from mobile-phone traces
Bahoken et al. Designing origin-destination flow matrices from individual mobile phone paths: The effect of spatiotemporal filtering on flow measurement
Shen et al. Real-time road traffic fusion and prediction with GPS and fixed-sensor data
Hadachi et al. A survey on the advancement of travel time estimation using mobile phone network data