The analysis of traffic data can provide decision-makers with invaluable information. Despite the availability of methodologies specifically oriented to processing this kind of data and extract knowledge from them, few tools provide a rich set of functionalities tailored to traffic analysis in large-scale, stream-like contexts. In this paper we aim to fill this gap, by introducing an exploratory framework supporting the analysis of massive stream traffic data by either OLAP-like exploration or by resorting to advanced data mining techniques.
A Big Data Framework for Analysis of Traffic Data in Italian Highways / Diamantini, Claudia; Potena, Domenico; Storti, Emanuele. - STAMPA. - 11177:(2018), pp. 161-168. [10.1007/978-3-030-01851-1_16]
A Big Data Framework for Analysis of Traffic Data in Italian Highways
Claudia Diamantini;Domenico Potena;Emanuele Storti
2018-01-01
Abstract
The analysis of traffic data can provide decision-makers with invaluable information. Despite the availability of methodologies specifically oriented to processing this kind of data and extract knowledge from them, few tools provide a rich set of functionalities tailored to traffic analysis in large-scale, stream-like contexts. In this paper we aim to fill this gap, by introducing an exploratory framework supporting the analysis of massive stream traffic data by either OLAP-like exploration or by resorting to advanced data mining techniques.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
