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Communication Dans Un Congrès MobiQuitous '11 : 8th International ICST Conference on Mobile and Ubiquitous Systems Année : 2012

Real-time detection of anomalous taxi trajectories from GPS traces

Résumé

Trajectories obtained from GPS-enabled taxis grant us an opportunity to not only extract meaningful statistics, dynamics and behaviors about certain urban road users, but also to monitor adverse and/or malicious events. In this paper, we focus on the problem of detecting anomalous routes by comparing against "historically\normal" routes. We propose a real-time method, iBOAT, that is able to detect anomalous trajectories "on-the-fly", as well as identify which parts of the trajectory are responsible for its anomalousness. We evaluate our method on a large dataset of taxi GPS logs and verify that it has excellent accuracy (AUC >= 0.99) and overcomes many of the shortcomings of other state-of-the-art methods.
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Dates et versions

hal-00749947 , version 1 (08-11-2012)

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Chao Chen, Daqing Zhang, Pablo Samuel Castro, Nan Li, Lin Sun, et al.. Real-time detection of anomalous taxi trajectories from GPS traces. MobiQuitous '11 : 8th International ICST Conference on Mobile and Ubiquitous Systems, Dec 2011, Copenhagen, Denmark. pp.63-74, ⟨10.1007/978-3-642-30973-1_6⟩. ⟨hal-00749947⟩
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