Traffic Data: Exploratory Data Analysis with Apache Accumulo
| Autor: | Bernaschi, Massimo, Celestini, Alessandro, Guarino, Stefano, Lombardi, Flavio, Mastrostefano, Enrico |
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| Rok vydání: | 2018 |
| Předmět: |
050210 logistics & transportation
Computer science media_common.quotation_subject 05 social sciences Law enforcement Apache Accumulo 020206 networking & telecommunications 02 engineering and technology Data science Exploratory data analysis Traffic Data Fully automated Reading (process) 0502 economics and business Scalability 0202 electrical engineering electronic engineering information engineering Exploratory Data Analysis media_common |
| Zdroj: | Advances in Intelligent Systems and Computing ISBN: 9783319756073 TRAP Traffic Mining Applied to Police Activities, 1st Italian Conference for the Traffic Police (TRAP-2017), pp. 129–143, 2018 info:cnr-pdr/source/autori:Bernaschi, Massimo and Celestini, Alessandro and Guarino, Stefano and Lombardi, Flavio and Mastrostefano, Enrico/congresso_nome:Traffic Mining Applied to Police Activities, 1st Italian Conference for the Traffic Police (TRAP-2017)/congresso_luogo:/congresso_data:2018/anno:2018/pagina_da:129/pagina_a:143/intervallo_pagine:129–143 |
| DOI: | 10.1007/978-3-319-75608-0_10 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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