An integrated architecture for future studies in data processing for smart cities |
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| Affiliation: | 1. Computer Sciences Department, University of Jaén, Campus Las Lagunillas s/n, Jaén, 23071, Spain;2. School of Computing and Mathematics, University of Ulster, Jordanstown, BT37 0QB, U.K.;1. Eindhoven University of Technology, The Netherlands;2. Topic Embedded Products, The Netherlands;1. Fraunhofer AISEC, Parkring 4, Garching 85748, Germany;2. Institute for Security in Information Technology, Technische Universität München, Arcisstr. 21, München 80333, Germany;1. CEA, LIST, Laboratory of Model Driven Engineering for Embedded Systems, P.C. 174, Gif-sur-Yvette 91191, France;2. CEA, LIST, Software Reliability and Security Laboratory, P.C. 174, Gif-sur-Yvette 91191, France;3. Faculty of Computers and Information, Menofia University, Egypt |
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| 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. |
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