Abstract
Several works have been proposed for both collective and individual trajectory behavior discovery, as flocks, outliers, avoidance, chasing, etc. In this paper we are especially interested in abnormal behaviors of individual trajectories of drivers, and present an algorithm for finding anomalous movements and categorizing levels of driving behavior. Experiments with real trajectory data show that the method correctly finds driving anomalies.
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Lommel, E.: Experimental physics. In: Paul, K. (ed.) Trench, Trübner & Company (1899)
Pentland, A., Liu, A.: Modeling and prediction of human behavior. Neural Computation 11, 229–242 (1999)
Rigolli, M., Williams, Q., Gooding, M.J., Brady, M.: Driver behaviouralclassification from trajectory data. Proceedings of the IEEE Intelligent Transportation Systems 6, 889–894 (2005)
Sathyanarayana, A., Boyraz, P., Hansen, J.H.L.: Driver behavior analysis and route recognition by Hidden Markov Models. In: Proceedings of the IEEE International Conference on Vehicular Electronics and Safety, pp. 276–281 (2008)
Imamura, T., Yamashita, H., bin Othman, M.R., Othman, Z.Z., Miyake, T.: Driving behavior classification river sensing based on vehicle steering wheel operations. In: Proceedings of the SICE Annual Conference, pp. 2714–2718 (2005)
Inata, K., Raksincharoensak, P., Nagai, M.: Driver behavior modeling based on database of personal mobility driving in urban area. In: Proc. of the IEEE International Conference on Control, Automation and Systems, pp. 2902–2907 (2008)
Quintero, M.C.G., López, J.A.O., Rúa, J.M.P.: Intelligent erratic driving diagnosis based on artificial neural networks. In: Proceedings of the IEEE ANDESCON Conference, pp. 1–6 (2010)
Gindele, T., Brechtel, S., Dillmann, R.: A Probabilistic Model for Estimating Driver Behaviors and Vehicle Trajectories in Traffic Environments. In: Proceedings of the IEEE International Conference on Intelligent Transportation Systems, pp. 1625–1631 (2010)
Liao, Z., Yu, Y., Chen, B.: Anomaly detection in GPS data based on visual analytics. In: Proceedings of the IEEE Symposium on Visual Analytics and Science Technology, pp. 51–58 (2010)
Zhang, D., Li, N., Zhou, Z.-H., Chen, C., Sun, L., Li, S.: iBAT: detecting anomalous taxi trajectories from GPS traces. In: Proceedings of ACM UbiComp (2011)
Carboni, E.M., Bogorny, V.: Identificando comportamentos anômalos em trajetórias de objetos móveis. In: Proceedings of the XII Simposio Brasileiro de Geoinformatica (GEOINFO), pp. 141–146 (2011)
Verroios, V., Vicente, C.M., Delis, A.: Alerting for vehicles demonstrating hazardous driving behavior. In: Proceedings of the 11th ACM International Workshop on Data Engineering for Wireless and Mobile Access (MobiDE 2012), pp. 15–22 (2012)
Quintero, M., Lopez, C.G., Pinilla, J.O., Driver, A.C.C.: behavior classification model based on an intelligent driving diagnosis system. In: Proceedings of the 15th International IEEE Conference Intelligent Transportation Systems (ITSC), pp. 894–899 (2012)
WHO - World Health Organization, Global status report on road safety 2013 (2013), http://www.who.int/entity/violence_injury_prevention/road_safety_status/2013/en/index.html
Accident and Traffic Rules & Regulation: Top 25 Causes of Car Accidents (2012), http://accidentviews.wordpress.com/2012/02/14/top-25-causes-of-car-accidents/
AA Car Insurance, http://www.theaa.com/insurance/car-insurance.jsp .
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Carboni, E.M., Bogorny, V. (2015). Inferring Drivers Behavior through Trajectory Analysis. In: Angelov, P., et al. Intelligent Systems'2014. Advances in Intelligent Systems and Computing, vol 322. Springer, Cham. https://doi.org/10.1007/978-3-319-11313-5_73
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DOI: https://doi.org/10.1007/978-3-319-11313-5_73
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11312-8
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