In this paper we introduce a technological framework to efficiently support data management in a modern Intelligent Transportation System (ITS). The proposed technology enables the efficient storage of a variety of recent/historical/static data and guarantees its effective querying by supporting continuous as well as one-time queries for the delivering of real-time traffic services. The framework also offers a scalable solution for coping with the acquisition of huge volumes of data by employing data reduction techniques in Vehicle-to-Infrastructure transmissions. Experimental evaluation on the Linear Road ITS benchmark and along various simulated scenarios demonstrates that the proposed framework efficiently supports smart city data needs.
A Framework for ITS Data Management in a Smart City Scenario / Carafoli, Luca; Mandreoli, Federica; Martoglia, Riccardo; Penzo, W.. - STAMPA. - (2013), pp. 215-221. (Intervento presentato al convegno 2nd International Conference on Smart Grids and Green IT Systems, SMARTGREENS 2013 tenutosi a Aachen, deu nel May, 2013) [10.5220/0004380302150221].
A Framework for ITS Data Management in a Smart City Scenario
CARAFOLI, LUCA;MANDREOLI, Federica;MARTOGLIA, Riccardo;
2013
Abstract
In this paper we introduce a technological framework to efficiently support data management in a modern Intelligent Transportation System (ITS). The proposed technology enables the efficient storage of a variety of recent/historical/static data and guarantees its effective querying by supporting continuous as well as one-time queries for the delivering of real-time traffic services. The framework also offers a scalable solution for coping with the acquisition of huge volumes of data by employing data reduction techniques in Vehicle-to-Infrastructure transmissions. Experimental evaluation on the Linear Road ITS benchmark and along various simulated scenarios demonstrates that the proposed framework efficiently supports smart city data needs.
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