#Summary

Read the iPython Notebook online (recommended)

http://nbviewer.jupyter.org/github/roryhr/taxi-trajectories/blob/master/taxi-data-notebook.ipynb

T-Drive trajectory data

Microsoft has made available GPS data from 10,357 taxis in Beijing. Each taxi's location is sampled every 177 seconds on average and we're given a week's worth of data.

http://research.microsoft.com/apps/pubs/?id=152883

Installation

A minimal data file is stored in 01.zip along with User_guide_T-drive.pdf which describes the data set in more detail.

To reproduce the plots in the User Guide, you need to download all the data folders available at the T-Drive link above.

and place the folders in the /data folder. Otherwise, the program will run without complaining but your figures will differ from mine and those in the User Guide.

Reference Publications

1. Jing Yuan, Yu Zheng, Xing Xie, and Guangzhong Sun. Driving with knowledge from the physical world. In The 17th ACM SIGKDD international conference on Knowledge Discovery and Data mining, KDD'11, New York, NY, USA, 2011. ACM.

2. Jing Yuan, Yu Zheng, Chengyang Zhang, Wenlei Xie, Xing Xie, Guangzhong Sun, and Yan Huang. T-drive: driving directions based on taxi trajectories. In Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS '10, pages 99-108, New York, NY, USA,2010.