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Future Internet 2016, 8(2), 18;

iNUIT: Internet of Things for Urban Innovation

HumanTech Institute, University of Applied Sciences and Arts Western Switzerland, Fribourg 1705, Switzerland
Haute Ecole Arc Ing., University of Applied Sciences and Arts Western Switzerland, Neuchâtel 2000, Switzerland
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
Author to whom correspondence should be addressed.
Academic Editor: Dino Giuli
Received: 13 March 2016 / Revised: 21 April 2016 / Accepted: 3 May 2016 / Published: 11 May 2016
(This article belongs to the Special Issue Ecosystemic Evolution Feeded by Smart Systems)
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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%. View Full-Text
Keywords: Internet of Things; crowd monitoring; dynamic street light management Internet of Things; crowd monitoring; dynamic street light management

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Carrino, F.; Mugellini, E.; Abou Khaled, O.; Ouerhani, N.; Ehrensberger, J. iNUIT: Internet of Things for Urban Innovation. Future Internet 2016, 8, 18.

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