Urban mobility study using taxi traces
Proceedings of the 2011 international workshop on Trajectory data mining and analysis
Exploring relationship between taxi volume and flue gases' concentrations
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
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GPS-equipped taxis are mobile sensors probing the traffic flow on road surfaces, and taxi drivers are experienced drivers who can usually find out the fastest path to a destination based on their knowledge. In this demo, we provide a user with the practically fastest path to a destination at a given departure time in terms of taxi drivers’ intelligence mined from historical GPS trajectories of taxis. We build our system, called T-Drive, by using a real trajectory dataset generated by over 33,000 taxis in a period of 3 months, and conduct both synthetic experiments and in-the-field evaluations. As a result, our method outperforms the real-time-traffic-based (RT) and the speed-constraint-based (SC) approaches in both efficiency and effectiveness.