Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/85538
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Type: Journal article
Title: Building sustainable parking lots with the Web of Things
Author: Mathew, S.
Atif, Y.
Sheng, Q.
Maamar, Z.
Citation: Personal and Ubiquitous Computing, 2014; 18(4):895-907
Publisher: Springer London
Issue Date: 2014
ISSN: 1617-4909
1617-4917
Statement of
Responsibility: 
Sujith Samuel Mathew, Yacine Atif, Quan Z. Sheng, Zakaria Maamar
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.
Keywords: Smart parking; Sensor networks; Web of Things; Web services; Semantic Web
Rights: © Springer-Verlag London 2013
DOI: 10.1007/s00779-013-0694-7
Appears in Collections:Aurora harvest 7
Computer Science publications

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