Paper Info
Title
An integrated architecture for future studies in data processing for smart cities.
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.
Year
DOI
Venue
2017
10.1016/j.micpro.2017.03.004
Microprocessors and Microsystems
Keywords
Field
DocType
Architecture,Big data,Data processing,Crowd sensing,Crowd dynamics,Intelligent transportation systems
Data science,Data collection,Data architecture,Data visualization,Data processing,End user,Computer security,Computer science,Decision support system,Real-time computing,Intelligent transportation system,Big data
Journal
Volume
Issue
ISSN
52
C
0141-9331
Citations 
PageRank 
References 
2
0.40
24
Authors
5
Name
Order
Citations
PageRank
Cristian Chilipirea1186.88
Andreea-Cristina Petre2184.17
Loredana-Marsilia Groza320.40
Ciprian Dobre455287.40
textbfFlorin Pop58410.95