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 | |
| US10715964B1 (en) | Pre-processing of mobile communication device geolocations according to travel mode in traffic analysis | |
| Liu et al. | Understanding intra-urban trip patterns from taxi trajectory data | |
| Calabrese et al. | Urban sensing using mobile phone network data: a survey of research | |
| US10121366B2 (en) | Method and system for modeling and processing vehicular traffic data and information and applying thereof | |
| CN108170793B (en) | Stop point analysis method and system based on vehicle semantic trajectory data | |
| Wang et al. | Estimating dynamic origin-destination data and travel demand using cell phone network data | |
| Guido et al. | Using smartphones as a tool to capture road traffic attributes | |
| US20090005987A1 (en) | Determining locations of interest based on user visits | |
| Sun et al. | Identifying tourists and locals by K-means clustering method from mobile phone signaling data | |
| WO2018151669A1 (en) | Map matching and trajectory analysis | |
| US20210172759A1 (en) | Map Matching and Trajectory Analysis | |
| US10694321B1 (en) | Pattern matching in point-of-interest (POI) traffic analysis | |
| Neidhardt et al. | Estimating locations and coverage areas of mobile network cells based on crowdsourced data | |
| CN106920387A (en) | Obtain the method and device of route temperature in traffic route | |
| 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 | |
| St | Reconstructing trajectories from sparse call detail records | |
| Costanzo | An arduino based system provided with GPS/GPRS shield for real time monitoring of traffic flows | |
| Hadachi et al. | A survey on the advancement of travel time estimation using mobile phone network data | |
| Demissie | Combining datasets from multiple sources for urban and transportation planning: Emphasis on cellular network data | |
| Said et al. | A probabilistic approach for maximizing travel journey WiFi coverage using mobile crowdsourced services | |
| JP2008014742A (en) | Mobile object position estimation system and mobile object position estimation method | |
| CN117275229B (en) | Traffic path tracing method, device, equipment and storage medium | |
| Lyu et al. | SynthCAT: Synthesizing cellular association traces with fusion of model-based and data-driven approaches |