OPTICS: ordering points to identify the clustering structure
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Using GPS to learn significant locations and predict movement across multiple users
Personal and Ubiquitous Computing
Learning transportation mode from raw gps data for geographic applications on the web
Proceedings of the 17th international conference on World Wide Web
Learning and inferring transportation routines
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Mobility detection using everyday GSM traces
UbiComp'06 Proceedings of the 8th international conference on Ubiquitous Computing
Predestination: inferring destinations from partial trajectories
UbiComp'06 Proceedings of the 8th international conference on Ubiquitous Computing
Activity classification using realistic data from wearable sensors
IEEE Transactions on Information Technology in Biomedicine
IEEE Transactions on Information Technology in Biomedicine
Mining interesting locations and travel sequences from GPS trajectories
Proceedings of the 18th international conference on World wide web
Trajectory simplification method for location-based social networking services
Proceedings of the 2009 International Workshop on Location Based Social Networks
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)
Using mobile phones to determine transportation modes
ACM Transactions on Sensor Networks (TOSN)
Energy-efficient rate-adaptive GPS-based positioning for smartphones
Proceedings of the 8th international conference on Mobile systems, applications, and services
Toolkit to support intelligibility in context-aware applications
Proceedings of the 12th ACM international conference on Ubiquitous computing
Bridging the gap between physical location and online social networks
Proceedings of the 12th ACM international conference on Ubiquitous computing
T-drive: driving directions based on taxi trajectories
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
Inferring usage characteristics of electric bicycles from position information
Proceedings of the 3rd International Workshop on Location and the Web
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
Mining GPS data to determine interesting locations
Proceedings of the 8th International Workshop on Information Integration on the Web: in conjunction with WWW 2011
SQUISH: an online approach for GPS trajectory compression
Proceedings of the 2nd International Conference on Computing for Geospatial Research & Applications
An incremental Hausdorff distance calculation algorithm
Proceedings of the VLDB Endowment
Anatomy of automatic mobile carbon footprint calculator
GPC'11 Proceedings of the 6th international conference on Advances in grid and pervasive computing
Privacy-aware mobile location-based systems
Proceedings of the 1st international workshop on Mobile location-based service
Computing turn delay in city road network with GPS collected trajectories
Proceedings of the 2011 international workshop on Trajectory data mining and analysis
GPS trajectory feature extraction for driver risk profiling
Proceedings of the 2011 international workshop on Trajectory data mining and analysis
How smart is your smartcard?: measuring travel behaviours, perceptions, and incentives
Proceedings of the 13th international conference on Ubiquitous computing
Deliberation for intuition: a framework for energy-efficient trip detection on cellular phones
Proceedings of the 13th international conference on Ubiquitous computing
Proceedings of the 13th international conference on Ubiquitous computing
On guaranteeing k-anonymity in location databases
DEXA'11 Proceedings of the 22nd international conference on Database and expert systems applications - Volume Part I
Collaborative activity recognition via check-in history
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Location-Based Social Networks
Transportation mode detection using mobile phones and GIS information
Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Efficient and effective query answering for trajectory cuboids
FQAS'11 Proceedings of the 9th international conference on Flexible Query Answering Systems
Next place prediction using mobility Markov chains
Proceedings of the First Workshop on Measurement, Privacy, and Mobility
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
Real-time GPS track simplification algorithm for outdoor navigation of visually impaired
Journal of Network and Computer Applications
Social itinerary recommendation from user-generated digital trails
Personal and Ubiquitous Computing
Mining regular routes from GPS data for ridesharing recommendations
Proceedings of the ACM SIGKDD International Workshop on Urban Computing
U2SOD-DB: a database system to manage large-scale ubiquitous urban sensing origin-destination data
Proceedings of the ACM SIGKDD International Workshop on Urban Computing
Mining GPS traces to recommend common meeting points
Proceedings of the 16th International Database Engineering & Applications Sysmposium
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Predictability of individuals' mobility with high-resolution positioning data
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
The preface of the 4th International Workshop on Location-Based Social Networks
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Predicting future locations with hidden Markov models
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Warehousing and querying trajectory data streams with error estimation
Proceedings of the fifteenth international workshop on Data warehousing and OLAP
Inferring geographic coincidence in ephemeral social networks
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part II
Towards a semi-automatic personal digital diary: detecting daily activities from smartphone sensors
Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments
Extracting significant places from mobile user GPS trajectories: a bearing change based approach
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
Analysis of user mobility data sources for multi-user context modeling
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information
Differential private trajectory protection of moving objects
Proceedings of the Third ACM SIGSPATIAL International Workshop on GeoStreaming
Mobile cloud computing framework for a pervasive and ubiquitous environment
The Journal of Supercomputing
Collective suffix tree-based models for location prediction
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
Learning and user adaptation in location forecasting
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing
Inferring human activities from GPS tracks
Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing
Prediction of user location using the radiation model and social check-ins
Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing
Motif discovery in spatial trajectories using grammar inference
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Sequential pattern mining from trajectory data
Proceedings of the 17th International Database Engineering & Applications Symposium
Accelerometer-based transportation mode detection on smartphones
Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems
Model-driven matching and segmentation of trajectories
Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Compact representation of GPS trajectories over vectorial road networks
SSTD'13 Proceedings of the 13th international conference on Advances in Spatial and Temporal Databases
A novel real-time framework for extracting patterns from trajectory data streams
Proceedings of the 4th ACM SIGSPATIAL International Workshop on GeoStreaming
ST-TrajVis: interacting with trajectory data
BCS-HCI '13 Proceedings of the 27th International BCS Human Computer Interaction Conference
Personal and Ubiquitous Computing
Efficient location aware intrusion detection to protect mobile devices
Personal and Ubiquitous Computing
Context-based microblog browsing for mobile users
Journal of Ambient Intelligence and Smart Environments - Context Awareness
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Both recognizing human behavior and understanding a user's mobility from sensor data are critical issues in ubiquitous computing systems. As a kind of user behavior, the transportation modes, such as walking, driving, etc., that a user takes, can enrich the user's mobility with informative knowledge and provide pervasive computing systems with more context information. In this paper, we propose an approach based on supervised learning to infer people's motion modes from their GPS logs. The contribution of this work lies in the following two aspects. On one hand, we identify a set of sophisticated features, which are more robust to traffic condition than those other researchers ever used. On the other hand, we propose a graph-based post-processing algorithm to further improve the inference performance. This algorithm considers both the commonsense constraint of real world and typical user behavior based on location in a probabilistic manner. Using the GPS logs collected by 65 people over a period of 10 months, we evaluated our approach via a set of experiments. As a result, based on the change point-based segmentation method and Decision Tree-based inference model, the new features brought an eight percent improvement in inference accuracy over previous result, and the graph-based post-processing achieve a further four percent enhancement.