@inproceedings{8bef41b747674b5292af245ee2fad152,
title = "iBAT: Detecting anomalous taxi trajectories from GPS traces",
abstract = "GPS-equipped taxis can be viewed as pervasive sensors and the large-scale digital traces produced allow us to reveal many hidden {"}facts{"} about the city dynamics and human behaviors. In this paper, we aim to discover anomalous driving patterns from taxi's GPS traces, targeting applications like automatically detecting taxi driving frauds or road network change in modern cites. To achieve the objective, firstly we group all the taxi trajectories crossing the same source destination cell-pair and represent each taxi trajectory as a sequence of symbols. Secondly, we propose an Isolation-Based Anomalous Trajectory (iBAT) detection method and verify with large scale taxi data that iBAT achieves remarkable performance (AUC>0.99, over 90\% detection rate at false alarm rate of less than 2\%). Finally, we demonstrate the potential of iBAT in enabling innovative applications by using it for taxi driving fraud detection and road network change detection.",
keywords = "anomalous trajectory detection, gps trace, isolation-based anomaly detection, taxi",
author = "Daqing Zhang and Nan Li and Zhou, \{Zhi Hua\} and Chao Chen and Lin Sun and Shijian Li",
year = "2011",
month = oct,
day = "19",
doi = "10.1145/2030112.2030127",
language = "English",
isbn = "9781450309103",
series = "UbiComp'11 - Proceedings of the 2011 ACM Conference on Ubiquitous Computing",
pages = "99--108",
booktitle = "UbiComp'11 - Proceedings of the 2011 ACM Conference on Ubiquitous Computing",
note = "13th International Conference on Ubiquitous Computing, UbiComp'11 and the Co-located Workshops ; Conference date: 17-09-2011 Through 21-09-2011",
}