Short paper: Sensors data fusion for Smart Cities with KNIME: A real experience in the SmartSantander Testbed

Author

Jara, Antonio J. ; Genoud, Dominique ; Bocchi, Yann

Author_Institution

Inst. of Bus. Inf. Syst., Univ. of Appl. Sci. Western Switzerland (HES-SO), Sierre, Switzerland

fYear

2014

fDate

6-8 March 2014

Firstpage

173

Lastpage

174

Abstract

Big Data is conceived as the powerful tool to exploit all the potential of the Internet of Things and the Smart Cities. A new dimension of understanding about the human behaviours is expected to be reached through all the gathered data in the emerging smart environment. This work analyses the data from the European Project SmartSantander. This work has correlated the traffic behaviour with respect to the temperature in the Santander City. This has been presented as the evolution of both flows present a similar behaviour. Specifically, they present a fine grain correlation of over the 57%. Finally, it has been also presented as the traffic distribution, aggregated by temperature bins, follows up a Poisson distribution model. Thereby, allowing interpolate and predict complex behaviours based on simple measures such as the temperature.

Keywords

Big Data; Internet of Things; Poisson distribution; sensor fusion; traffic engineering computing; Big Data; European Project SmartSantander Testbed; Internet of Things; KNIME; Poisson distribution model; Santander City; human behaviours; sensor data fusion; smart cities; smart environment; traffic behaviour; traffic distribution; Cities and towns; Correlation; Europe; Internet; Temperature distribution; Temperature sensors; Big Data; Data Fusion; Internet of Things; KNIME; Smart Cities;

fLanguage

English

Publisher

ieee

Conference_Titel

Internet of Things (WF-IoT), 2014 IEEE World Forum on

Conference_Location

Seoul

Type

conf

DOI

10.1109/WF-IoT.2014.6803145

Filename

6803145