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2018 | OriginalPaper | Chapter

Traffic Data Classification for Police Activity

Authors : Stefano Guarino, Fabio Leuzzi, Flavio Lombardi, Enrico Mastrostefano

Published in: Foundations of Intelligent Systems

Publisher: Springer International Publishing

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Abstract

Traffic data, automatically collected en masse every day, can be mined to discover information or patterns to support police investigations. Leveraging on domain expertise, in this paper we show how unsupervised clustering techniques can be used to infer trending behaviors for road-users and thus classify both routes and vehicles. We describe a tool devised and implemented upon openly-available scientific libraries and we present a new set of experiments involving three years worth data. Our classification results show robustness to noise and have high potential for detecting anomalies possibly connected to criminal activity.

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previous chapter A Big Data Framework for Analysis of Traffic Data in Italian Highways

next chapter Multipurpose Web-Platform for Labeling Audio Segments Efficiently and Effectively

Bernaschi, M., Celestini, A., Guarino, S., Lombardi, F., Mastrostefano, E.: Traffic data: exploratory data analysis with Apache Accumulo. In: Leuzzi, F., Ferilli, S. (eds.) TRAP 2017. AISC, vol. 728, pp. 129–143. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-75608-0_10CrossRef

Bernaschi, M., Celestini, A., Guarino, S., Lombardi, F., Mastrostefano, E.: Unsupervised classification of routes and plates from the Trap-2017 dataset. In: Leuzzi, F., Ferilli, S. (eds.) TRAP 2017. AISC, vol. 728, pp. 97–114. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-75608-0_8CrossRef

Grossi, V., Monreale, A., Nanni, M., Pedreschi, D., Turini, F.: Clustering formulation using constraint optimization. In: Bianculli, D., Calinescu, R., Rumpe, B. (eds.) SEFM 2015. LNCS, vol. 9509, pp. 93–107. Springer, Heidelberg (2015). https://doi.org/10.1007/978-3-662-49224-6_9CrossRef

Jindal, T., Giridhar, P., Tang, L.A., Li, J., Han, J.: Spatiotemporal periodical pattern mining in traffic data. In: UrbComp 2013 (2013)

Kiran, R.U., Shang, H., Toyoda, M., Kitsuregawa, M.: Discovering partial periodic itemsets in temporal databases. In: Proceedings of SSDBM 2017, pp. 30:1–30:6, New York, NY, USA. ACM (2017)

Kullback, S., Leibler, R.A.: On information and sufficiency. Ann. Math. Stat. 22(1), 79–86 (1951)MathSciNetCrossRef

Leuzzi, F., Del Signore, E., Ferranti, R.: Towards a pervasive and predictive traffic police. In: Leuzzi, F., Ferilli, S. (eds.) TRAP 2017. AISC, vol. 728, pp. 19–35. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-75608-0_3CrossRef

McLachlan, G., Peel, D.: Finite Mixture Models. Wiley, New York (2004)

Necula, E.: Analyzing traffic patterns on street segments based on GPS data using R. Transp. Res. Procedia, 10, 276–285 (2015). EWGT 2015, Delft

10.

Rubner, Y., Tomasi, C., Guibas, L.J.: The Earth Mover’s Distance as a metric for image retrieval. Intl. J. Comput. Vis. 40(2), 99–121 (2000)

11.

Sivaraman, S., Trivedi, M.M.: Looking at vehicles on the road: a survey of vision-based vehicle detection, tracking, and behavior analysis. IEEE Trans. Intell. Transp. Syst. 14(4), 1773–1795 (2013)CrossRef

12.

Ward Jr., J.H.: Hierarchical grouping to optimize an objective function. J. Am. Stat. Assoc. 58(301), 236–244 (1963)MathSciNetCrossRef

Title: Traffic Data Classification for Police Activity
Authors: Stefano Guarino
Fabio Leuzzi
Flavio Lombardi
Enrico Mastrostefano
Publisher: Springer International Publishing
Book: Foundations of Intelligent Systems
Print ISBN: 978-3-030-01850-4

Electronic ISBN: 978-3-030-01851-1

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-3-030-01851-1_17

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