Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Using GPS to learn significant locations and predict movement across multiple users
Personal and Ubiquitous Computing
Geographic location tags on digital images
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Six in the city: introducing Real Tournament - a mobile IPv6 based context-aware multiplayer game
NetGames '03 Proceedings of the 2nd workshop on Network and system support for games
GpsTunes: controlling navigation via audio feedback
Proceedings of the 7th international conference on Human computer interaction with mobile devices & services
Toward tighter integration of web search with a geographic information system
Proceedings of the 15th international conference on World Wide Web
Geotracker: geospatial and temporal RSS navigation
Proceedings of the 16th international conference on World Wide Web
A mobile application framework for the geospatial web
Proceedings of the 16th international conference on World Wide Web
Learning and inferring transportation routines
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Predestination: inferring destinations from partial trajectories
UbiComp'06 Proceedings of the 8th international conference on Ubiquitous Computing
Understanding mobility based on GPS data
UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
Mining user similarity based on location history
Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems
Mining interesting locations and travel sequences from GPS trajectories
Proceedings of the 18th international conference on World wide web
Using Context Annotated Mobility Profiles to Recruit Data Collectors in Participatory Sensing
LoCA '09 Proceedings of the 4th International Symposium on Location and Context Awareness
Joint learning user's activities and profiles from GPS data
Proceedings of the 2009 International Workshop on Location Based Social Networks
Trajectory simplification method for location-based social networking services
Proceedings of the 2009 International Workshop on Location Based Social Networks
Exploring movement-similarity analysis of moving objects
SIGSPATIAL Special
Mining correlation between locations using human location history
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Understanding transportation modes based on GPS data for web applications
ACM Transactions on the Web (TWEB)
Activity recognition: linking low-level sensors to high-level intelligence
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Collaborative location and activity recommendations with GPS history data
Proceedings of the 19th international conference on World wide web
T-drive: driving directions based on taxi trajectories
Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
Finding similar users using category-based location history
Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
Learning travel recommendations from user-generated GPS traces
ACM Transactions on Intelligent Systems and Technology (TIST)
Discovering human places of interest from multimodal mobile phone data
Proceedings of the 9th International Conference on Mobile and Ubiquitous Multimedia
Recommending friends and locations based on individual location history
ACM Transactions on the Web (TWEB)
Algorithm for detecting significant locations from raw GPS data
DS'10 Proceedings of the 13th international conference on Discovery science
PerPos: a translucent positioning middleware supporting adaptation of internal positioning processes
Proceedings of the ACM/IFIP/USENIX 11th International Conference on Middleware
ICDM'11 Proceedings of the 11th international conference on Advances in data mining: applications and theoretical aspects
Transportation mode detection using mobile phones and GIS information
Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
User interaction techniques for multimedia retrieval
Proceedings of the 2012 Joint International Conference on Human-Centered Computer Environments
Transportation modes identification from mobile phone data using probabilistic models
ADMA'11 Proceedings of the 7th international conference on Advanced Data Mining and Applications - Volume Part II
Towards mobile intelligence: Learning from GPS history data for collaborative recommendation
Artificial Intelligence
Social itinerary recommendation from user-generated digital trails
Personal and Ubiquitous Computing
Performance comparisons of spatial data processing techniques for a large scale mobile phone dataset
Proceedings of the 3rd International Conference on Computing for Geospatial Research and Applications
Understanding how trace segmentation impacts transportation mode detection
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
A clustering method based on time heat map in mobile social network
ICICA'12 Proceedings of the Third international conference on Information Computing and Applications
GMOBench: a benchmark for generic moving objects
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
A generic data model for moving objects
Geoinformatica
CrowdAtlas: self-updating maps for cloud and personal use
Proceeding of the 11th annual international conference on Mobile systems, applications, and services
Intelligent search in social communities of smartphone users
Distributed and Parallel Databases
Exploring pattern-aware travel routes for trajectory search
ACM Transactions on Intelligent Systems and Technology (TIST) - Special Sections on Paraphrasing; Intelligent Systems for Socially Aware Computing; Social Computing, Behavioral-Cultural Modeling, and Prediction
Inferring human activities from GPS tracks
Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing
Modality Classification Method Based on the Model of Vibration Generation while Vehicles are Running
Proceedings of the Sixth ACM SIGSPATIAL International Workshop on Computational Transportation Science
From taxi GPS traces to social and community dynamics: A survey
ACM Computing Surveys (CSUR)
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Geographic information has spawned many novel Web applications where global positioning system (GPS) plays important roles in bridging the applications and end users. Learning knowledge from users' raw GPS data can provide rich context information for both geographic and mobile applications. However, so far, raw GPS data are still used directly without much understanding. In this paper, an approach based on supervised learning is proposed to automatically infer transportation mode from raw GPS data. The transportation mode, such as walking, driving, etc., implied in a user's GPS data can provide us valuable knowledge to understand the user. It also enables context-aware computing based on user's present transportation mode and design of an innovative user interface for Web users. Our approach consists of three parts: a change point-based segmentation method, an inference model and a post-processing algorithm based on conditional probability. The change point-based segmentation method was compared with two baselines including uniform duration based and uniform length based methods. Meanwhile, four different inference models including Decision Tree, Bayesian Net, Support Vector Machine (SVM) and Conditional Random Field (CRF) are studied in the experiments. We evaluated the approach using the GPS data collected by 45 users over six months period. As a result, beyond other two segmentation methods, the change point based method achieved a higher degree of accuracy in predicting transportation modes and detecting transitions between them. Decision Tree outperformed other inference models over the change point based segmentation method.