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Authors: Luca Carafoli 1 ; Federica Mandreoli 2 ; Riccardo Martoglia 2 and Wilma Penzo 3

Affiliations: 1 University of Modena and Reggio Emilia, Italy ; 2 University of Modena and Reggio Emilia and IEIIT-BO/CNR, Italy ; 3 University of Bologna and IEIIT-BO/CNR, Italy

Keyword(s): Intelligent Transportation System, Smart City, Relational Databases, Stream Data, Data Reduction Techniques.

Related Ontology Subjects/Areas/Topics: Energy and Economy ; Intelligent Transport Systems and Traffic Management ; IS Architecture Designs and Platforms for Smart Cities ; Smart Cities

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 onetime 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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Paper citation in several formats:
Carafoli, L.; Mandreoli, F.; Martoglia, R. and Penzo, W. (2013). A Framework for ITS Data Management in a Smart City Scenario. In Proceedings of the 2nd International Conference on Smart Grids and Green IT Systems - SMARTGREENS; ISBN 978-989-8565-55-6; ISSN 2184-4968, SciTePress, pages 215-221. DOI: 10.5220/0004380302150221

@conference{smartgreens13,
author={Luca Carafoli. and Federica Mandreoli. and Riccardo Martoglia. and Wilma Penzo.},
title={A Framework for ITS Data Management in a Smart City Scenario},
booktitle={Proceedings of the 2nd International Conference on Smart Grids and Green IT Systems - SMARTGREENS},
year={2013},
pages={215-221},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004380302150221},
isbn={978-989-8565-55-6},
issn={2184-4968},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Smart Grids and Green IT Systems - SMARTGREENS
TI - A Framework for ITS Data Management in a Smart City Scenario
SN - 978-989-8565-55-6
IS - 2184-4968
AU - Carafoli, L.
AU - Mandreoli, F.
AU - Martoglia, R.
AU - Penzo, W.
PY - 2013
SP - 215
EP - 221
DO - 10.5220/0004380302150221
PB - SciTePress

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