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Article
Building sustainable parking lots with the Web of Things
Personal and Ubiquitous Computing
  • Sujith Samuel Mathew, The University of Adelaide
  • Yacine Atif, United Arab Emirates University
  • Quan Z. Sheng, The University of Adelaide
  • Zakaria Maamar, Zayed University
Document Type
Article
Publication Date
1-1-2014
Abstract

Peak-time traffic woes create considerable amount of stress and environmental pollution resulting in an economic loss. Research innovations in areas such as the Web of Things are able to curtail some of these issues by creating scalable and sustainable environments like parking lots, which provide motorists with access to convenient parking spots. We present a scalable parking lot network infrastructure that exposes parking management operations through a judicious mashup of physical things' services within a parking lot. Our system uses service-oriented architecture, allowing motorists to reserve parking spots in advance. In doing so, our proposed system leverages the use of HTTP and Wi-Fi for the Web enablement and interoperability of things within a parking spot and elevates it as a Smart Parking Spot on the Web. Our suggested semantic Web-based structure for representing things makes it possible to query physical things' states and services depending on their capabilities and other relevant parking-related parameters. Our performance evaluation reveals that a maximum of 40 % time is saved to find parking spots and also 40 % reduction in air pollution is observed. © 2013 Springer-Verlag London.

Publisher
Springer-Verlag London Ltd
Disciplines
Keywords
  • Semantic Web,
  • Sensor networks,
  • Smart parking,
  • Web of Things,
  • Web services
Scopus ID
84897386772
Indexed in Scopus
Yes
Open Access
Yes
Open Access Type
Green: A manuscript of this publication is openly available in a repository
http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-11912
Citation Information
Sujith Samuel Mathew, Yacine Atif, Quan Z. Sheng and Zakaria Maamar. "Building sustainable parking lots with the Web of Things" Personal and Ubiquitous Computing Vol. 18 Iss. 4 (2014) p. 895 - 907 ISSN: <a href="https://v2.sherpa.ac.uk/id/publication/issn/1617-4909" target="_blank">1617-4909</a>
Available at: http://works.bepress.com/zakaria-maamar/59/