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iNUIT: Internet of Things for Urban Innovation

Author

Listed:
  • 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)

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%.

Suggested Citation

  • Francesco Carrino & Elena Mugellini & Omar Abou Khaled & Nabil Ouerhani & Juergen Ehrensberger, 2016. "iNUIT: Internet of Things for Urban Innovation," Future Internet, MDPI, vol. 8(2), pages 1-21, May.
    • Handle: RePEc:gam:jftint:v:8:y:2016:i:2:p:18-:d:69809
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    References listed on IDEAS

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    1. Pablo E. Branchi & Carlos Fernández-Valdivielso & Ignacio R. Matias, 2014. "Analysis Matrix for Smart Cities," Future Internet, MDPI, vol. 6(1), pages 1-15, January.
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    Cited by:

    1. Dino Giuli, 2018. "Ecosystemic Evolution Fed by Smart Systems," Future Internet, MDPI, vol. 10(3), pages 1-3, March.
    2. Giovanni Pau & Tiziana Campisi & Antonino Canale & Alessandro Severino & Mario Collotta & Giovanni Tesoriere, 2018. "Smart Pedestrian Crossing Management at Traffic Light Junctions through a Fuzzy-Based Approach," Future Internet, MDPI, vol. 10(2), pages 1-19, February.
    3. Paul J. Croft, 2019. "Environmental Hazards: A Coverage Response Approach," Future Internet, MDPI, vol. 11(3), pages 1-15, March.

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