Abstract
With the advent of Global Positioning System (GPS) and extensive use of smartphones, trajectory data for moving objects is available easily and at cheaper price. Moreover, the use of GPS devices in vehicles is now possible to keep a track of moving vehicles on the road. It is also possible to identify anomalous behavior of vehicle with this trajectory data. In the field of trajectory mining, outlier detection of trajectories has become one of the important topics that can be used to detect anomalies in the trajectories. In this paper, certain existing issues and challenges of trajectory data are identified and a future research direction is discussed. This paper proposes a potential use of outlier detection to identify irregular events that cause traffic congestion.
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Bhowmick, K., Narvekar, M. (2018). Trajectory Outlier Detection for Traffic Events: A Survey. In: Bhalla, S., Bhateja, V., Chandavale, A., Hiwale, A., Satapathy, S. (eds) Intelligent Computing and Information and Communication. Advances in Intelligent Systems and Computing, vol 673. Springer, Singapore. https://doi.org/10.1007/978-981-10-7245-1_5
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DOI: https://doi.org/10.1007/978-981-10-7245-1_5
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