Chen et al., 2022 - Google Patents
A travel mode identification framework based on cellular signaling dataChen et al., 2022
View PDF- Document ID
- 9942451693734826383
- Author
- Chen J
- Xiong C
- Cai M
- Publication year
- Publication venue
- Mobile Information Systems
External Links
Snippet
The rapid development of telecommunication network has produced a large amount of spatial‐temporal information of mobile phone users. GPS data are typically collected by smartphones apps, which are restricted to small samples of the population. Cellular …
- 230000001413 cellular 0 title abstract description 61
Classifications
-
- 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
- H04W4/028—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 using historical or predicted position information, e.g. trajectory data
-
- 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
-
- 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
- G08G1/0125—Traffic data processing
- G08G1/0129—Traffic data processing for creating historical data or processing based on historical data
-
- 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
- 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
-
- 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
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Caceres et al. | Traffic flow estimation models using cellular phone data | |
Zheng et al. | Diagnosing New York city's noises with ubiquitous data | |
Widhalm et al. | Discovering urban activity patterns in cell phone data | |
Chen et al. | A travel mode identification framework based on cellular signaling data | |
Chen et al. | Constructing and comparing user mobility profiles | |
Huang et al. | Crowdsourcing-based urban anomaly prediction system for smart cities | |
Kujala et al. | Estimation and monitoring of city-to-city travel times using call detail records | |
Yazji et al. | Efficient location aware intrusion detection to protect mobile devices | |
Huo et al. | Short-term estimation and prediction of pedestrian density in urban hot spots based on mobile phone data | |
Asgari et al. | CT-Mapper: Mapping sparse multimodal cellular trajectories using a multilayer transportation network | |
Qin et al. | CellPred: A behavior-aware scheme for cellular data usage prediction | |
Chen et al. | Trip mode inference from mobile phone signaling data using logarithm Gaussian mixture model | |
Chen et al. | Trip-chain-based travel-mode-shares-driven framework using cellular signaling data and web-based mapping service data | |
Zhao et al. | GLTC: A metro passenger identification method across AFC data and sparse wifi data | |
Zhang et al. | Duplicate report detection in urban crowdsensing applications for smart city | |
EP3839917A1 (en) | Method, system and computer programs for traffic estimation using passive network data | |
Raghothama et al. | Analytics on public transport delays with spatial big data | |
Fang et al. | CellSense: Human mobility recovery via cellular network data enhancement | |
Lu et al. | Inferring correlation between user mobility and app usage in massive coarse-grained data traces | |
Li et al. | A simulation approach to detect arterial traffic congestion using cellular data | |
Xu et al. | IoT vs. human: A comparison of mobility | |
Hadachi et al. | A survey on the advancement of travel time estimation using mobile phone network data | |
Zhang et al. | Extracting the complete travel trajectory of subway passengers based on mobile phone data | |
Hasan et al. | Estimating travel time of Dhaka city from mobile phone call detail records | |
Chen et al. | Analysis of travel demand between transportation hubs in urban agglomeration based on mobile phone call detail record data |