St, 2014 - Google Patents
Reconstructing trajectories from sparse call detail recordsSt, 2014
View PDF- Document ID
- 591859860336497119
- Author
- St V
- Publication year
- Publication venue
- Dept. Geography, Univ. Zurich, Zürich, Switzerland
External Links
Snippet
For billing purposes, mobile phone operators collect large volumes of data containing information about time of phone activities (such as calls or SMS), as well as the location of the antennas people were connected to when initiating or receiving phone activities in so …
- 230000000694 effects 0 abstract description 69
Classifications
-
- 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
-
- 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
- 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
- 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
-
- 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
- H04W4/04—Mobile application Services making use of the location of users or terminals, e.g. OMA SUPL, OMA MLP or 3GPP LCS using association of physical positions and logical data in a dedicated environment, e.g. buildings or vehicles
- H04W4/043—Mobile application Services making use of the location of users or terminals, e.g. OMA SUPL, OMA MLP or 3GPP LCS using association of physical positions and logical data in a dedicated environment, e.g. buildings or vehicles using ambient awareness, e.g. involving buildings using floor or room numbers
-
- 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
-
- 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
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
-
- 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
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Zhao et al. | Urban human mobility data mining: An overview | |
Scherrer et al. | Travelers or locals? Identifying meaningful sub-populations from human movement data in the absence of ground truth | |
US10715964B1 (en) | Pre-processing of mobile communication device geolocations according to travel mode in traffic analysis | |
CN108170793B (en) | Vehicle semantic track data-based dwell point analysis method and system | |
US9324232B2 (en) | Method and system for modeling and processing vehicular traffic data and information and applying thereof | |
Guido et al. | Using smartphones as a tool to capture road traffic attributes | |
Liu et al. | Mining checkins from location-sharing services for client-independent ip geolocation | |
WO2018151669A1 (en) | Map matching and trajectory analysis | |
Sun et al. | Identifying tourists and locals by K-means clustering method from mobile phone signaling data | |
JP4032125B1 (en) | Mobile object position estimation system and mobile object position estimation method | |
US20210172759A1 (en) | Map Matching and Trajectory Analysis | |
US10911888B1 (en) | Pattern matching in point-of-interest (POI) traffic analysis | |
CN106920387A (en) | Obtain the method and device of route temperature in traffic route | |
Neidhardt et al. | Estimating locations and coverage areas of mobile network cells based on crowdsourced data | |
US10657806B1 (en) | Transformation of point of interest geometries to lists of route segments in mobile communication device traffic analysis | |
Jianqin et al. | A space-time visualization analysis method for taxi operation in Beijing | |
Costanzo | An arduino based system provided with GPS/GPRS shield for real time monitoring of traffic flows | |
St | Reconstructing trajectories from sparse call detail records | |
Zhou et al. | Village-town system in suburban areas based on cellphone signaling mining and network hierarchy structure analysis | |
Demissie | Combining datasets from multiple sources for urban and transportation planning: Emphasis on cellular network data | |
Hadachi et al. | A survey on the advancement of travel time estimation using mobile phone network data | |
Zannat et al. | Investigating the relative accuracy of GPS, GSM and CDR data for inferring spatiotemporal travel trajectories | |
Bouchelaghem et al. | User mobility dataset for 5G networks based on GPS geolocation | |
CN112611390B (en) | Classical line acquisition method and device in navigation system | |
CN116128128A (en) | Urban job-living balance prediction method, system and medium based on intelligent agent map |