iNUIT: Internet of Things for Urban Innovation

Francesco Carrino, Elena Mugellini, Omar Abou Khaled, Nabil Ouerhani and Juergen Ehrensberger
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Francesco Carrino: HumanTech Institute, University of Applied Sciences and Arts Western Switzerland, Fribourg 1705, Switzerland
Elena Mugellini: HumanTech Institute, University of Applied Sciences and Arts Western Switzerland, Fribourg 1705, Switzerland
Omar Abou Khaled: HumanTech Institute, University of Applied Sciences and Arts Western Switzerland, Fribourg 1705, Switzerland
Nabil Ouerhani: Haute Ecole Arc Ing., University of Applied Sciences and Arts Western Switzerland, Neuchâtel 2000, Switzerland
Juergen Ehrensberger: Institute for Information and Communication Technologies, Haute Ecole d’Ingénierie et de Gestion du Canton de Vaud, University of Applied Sciences and Arts Western Switzerland, Yverdon-les-Bains 1401, Switzerland

Future Internet, 2016, vol. 8, issue 2, 1-21

Abstract: Internet of Things (IoT) seems a viable way to enable the Smart Cities of the future. iNUIT (Internet of Things for Urban Innovation) is a multi-year research program that aims to create an ecosystem that exploits the variety of data coming from multiple sensors and connected objects installed on the scale of a city, in order to meet specific needs in terms of development of new services (physical security, resource management, etc. ). Among the multiple research activities within iNUIT, we present two projects: SmartCrowd and OpEc. SmartCrowd aims at monitoring the crowd’s movement during large events. It focuses on real-time tracking using sensors available in smartphones and on the use of a crowd simulator to detect possible dangerous scenarios. A proof-of-concept of the application has been tested at the Paléo Festival (Switzerland) showing the feasibility of the approach. OpEc (Optimisation de l’Eclairage public) aims at using IoT to implement dynamic street light management and control with the goal of reducing street light energy consumption while guaranteeing the same level of security of traditional illumination. The system has been tested during two months in a street in St-Imier (Switzerland) without interruption, validating its stability and resulting in an overall energy saving of about 56%.

Keywords: Internet of Things; crowd monitoring; dynamic street light management (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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