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Low-Effort Support to Efficient Urban Parking in a Smart City Perspective

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Advances onto the Internet of Things

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 260))

Abstract

The Internet of Things (IoT) is today considered as one of the most important enabling technologies for developing a wide variety of smart services aimed at assisting the final user in the urban environment. In this chapter, we present how IoT can be employed to develop a system for the effective and efficient management of urban parking, thus providing a small, yet relevant contribution to the implementation of a real Smart City. Our system relies on the identification of each single parking slot but, unlike other approaches proposed in the last years, it does not require dedicated sensors and/or infrastructure, thus it can be regarded as a low-cost and low-effort solution. Indeed, it collects parking data from a mobile application on the drivers’ mobile devices and possibly identifies each slot by QR codes deployed on the single parking spots. The amount of data collected by the system on parking occupancy allows inferring valuable information that can be used by local governments. For instance, it will be possible to define appropriate pricing schemes so as to promote parking areas not particularly occupied. The employment of an SOA design guarantees the integration of the developed system with other existing services within a Smart City.

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Notes

  1. 1.

    http://www.laexpresspark.org

  2. 2.

    http://www.sfpark.org

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Acknowledgments

The presented application comes from the refactoring and integration processes carried out in the framework of the SMARTY project, funded by “Programma Operativo Regionale (POR) 2007-2013” - objective “Competitività regionale e occupazione” of the Tuscany Region. The authors would also like to acknowledge Roberto Martucci and Pietro Lorefice for their contributions to early prototypes of the application.

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Authors and Affiliations

  1. Department of Information Engineering, University of Pisa, Largo L. Lazzarino, 52126, Pisa, PI, Italy

    Alessio Bechini, Francesco Marcelloni & Armando Segatori

Authors
  1. Alessio Bechini
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  2. Francesco Marcelloni
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  3. Armando Segatori
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Correspondence to Alessio Bechini .

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Editors and Affiliations

  1. Dipartimento di Ingegneria Chimica, Gestionale, Informatica, Meccanica, Università di Palermo, Palermo, Italy

    Salvatore Gaglio

  2. Dipartimento di Ingegneria Chimica, Gestionale, Informatica, Meccanica, Università di Palermo, Palermo, Italy

    Giuseppe Lo Re

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Bechini, A., Marcelloni, F., Segatori, A. (2014). Low-Effort Support to Efficient Urban Parking in a Smart City Perspective. In: Gaglio, S., Lo Re, G. (eds) Advances onto the Internet of Things. Advances in Intelligent Systems and Computing, vol 260. Springer, Cham. https://doi.org/10.1007/978-3-319-03992-3_17

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  • DOI: https://doi.org/10.1007/978-3-319-03992-3_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03991-6

  • Online ISBN: 978-3-319-03992-3

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