Machine Learning
Navigate like a cabbie: probabilistic reasoning from observed context-aware behavior
UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
Context-aware taxi demand hotspots prediction
International Journal of Business Intelligence and Data Mining
T-drive: driving directions based on taxi trajectories
Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
Drive Smartly as a Taxi Driver
UIC-ATC '10 Proceedings of the 2010 Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing
Taxi-aware map: identifying and predicting vacant taxis in the city
AmI'10 Proceedings of the First international joint conference on Ambient intelligence
Proceedings of the ACM SIGKDD International Workshop on Urban Computing
Mining the semantics of origin-destination flows using taxi traces
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Real Time Anomalous Trajectory Detection and Analysis
Mobile Networks and Applications
From taxi GPS traces to social and community dynamics: A survey
ACM Computing Surveys (CSUR)
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In this work, we analyze taxi-GPS traces collected in Lisbon, Portugal. We perform an exploratory analysis to visualize the spatiotemporal variation of taxi services; explore the relationships between pick-up and drop-off locations; and analyze the behavior in downtime (between the previous drop-off and the following pick-up). We also carry out the analysis of predictability of taxi trips for the next pick-up area type given history of taxi flow in time and space.