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2018 | OriginalPaper | Buchkapitel

Traffic Data: Exploratory Data Analysis with Apache Accumulo

verfasst von : Massimo Bernaschi, Alessandro Celestini, Stefano Guarino, Flavio Lombardi, Enrico Mastrostefano

Erschienen in: Traffic Mining Applied to Police Activities

Verlag: Springer International Publishing

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Abstract

The amount of traffic data collected by automatic number plate reading systems constantly incrseases. It is therefore important, for law enforcement agencies, to find convenient techniques and tools to analyze such data. In this paper we propose a scalable and fully automated procedure leveraging the Apache Accumulo technology that allows an effective importing and processing of traffic data. We discuss preliminary results obtained by using our application for the analysis of a dataset containing real traffic data provided by the Italian National Police. We believe the results described here can pave the way to further interesting research on the matter.

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Vorheriges Kapitel Vehicle Classification Based on Convolutional Networks Applied to FMCW Radar Signals

Nächstes Kapitel Exploiting Recurrent Neural Networks for Gate Traffic Prediction

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Titel: Traffic Data: Exploratory Data Analysis with Apache Accumulo
verfasst von: Massimo Bernaschi
Alessandro Celestini
Stefano Guarino
Flavio Lombardi
Enrico Mastrostefano
Verlag: Springer International Publishing
Buch: Traffic Mining Applied to Police Activities
Print ISBN: 978-3-319-75607-3

Electronic ISBN: 978-3-319-75608-0

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-319-75608-0_10

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