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Smart city article details

Title	An Integrated Architecture For Future Studies In Data Processing For Smart Cities
ID_Doc	8418
Authors	Chilipirea, C; Petre, AC; Groza, LM; Dobre, C; Pop, F
Year	2017
Published	MICROPROCESSORS AND MICROSYSTEMS, 52
DOI	http://dx.doi.org/10.1016/j.micpro.2017.03.004
Abstract	Data processing for Smart Cities become more challenging, facing with different handling steps: data collection from different heterogeneous sources, processing sometimes in real-time and then delivered to high level services or applications used in Smart Cities. Applications used for intelligent transportation systems, crowd management, water resources management, noise and air pollution management, require different data processing techniques. The main subject of this paper is to propose an architecture for data processing in Smart Cities. The architecture is oriented on the flow of data from the source to the end user. We describe seven steps of data processing: collection of data from heterogeneous sources, data normalization, data brokering, data storage, data analysis, data visualization and decision support systems. We consider two case studies on crowd management in smart cities and on Intelligent Transportation Systems (ITS) and we provide experimental highlights. (C) 2017 Elsevier B.V. All rights reserved.
Author Keywords	Architecture; Big data; Data processing; Crowd sensing; Crowd dynamics; Intelligent transportation systems

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