DocumentCode
1624288
Title
Drive Smartly as a Taxi Driver
Author
Zheng, Yu ; Yuan, Jing ; Xie, Wenlei ; Xie, Xing ; Sun, Guangzhong
Author_Institution
Microsoft Res. Aisa, Beijing, China
fYear
2010
Firstpage
484
Lastpage
486
Abstract
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.
Keywords
Global Positioning System; driver information systems; road traffic; sensors; GPS-equipped taxis; T-Drive; mobile sensors; real trajectory dataset; speed-constraint-based approach; traffic flow; Driver circuits; Global Positioning System; Mobile communication; Roads; Routing; Sensors; Trajectory; GPS trajectory; Path finding; T-Drive; driving directions; landmark graph;
fLanguage
English
Publisher
ieee
Conference_Titel
Ubiquitous Intelligence & Computing and 7th International Conference on Autonomic & Trusted Computing (UIC/ATC), 2010 7th International Conference on
Conference_Location
Xian, Shaanxi
Print_ISBN
978-1-4244-9043-1
Electronic_ISBN
978-0-7695-4272-0
Type
conf
DOI
10.1109/UIC-ATC.2010.19
Filename
5667121
Link To Document