Change search
ReferencesLink to record
Permanent link

Direct link
Building sustainable parking lots with the Web of Things
School of Computer Science, University of Adelaide, Adelaide, Australia.
College of IT, UAE University, Al Ain, United Arab Emirates.ORCID iD: 0000-0002-7312-9089
School of Computer Science, University of Adelaide, Adelaide, Australia.
College of IT, Zayed University, Dubai, United Arab Emirates.
2014 (English)In: Personal and Ubiquitous Computing, ISSN 1617-4909, E-ISSN 1617-4917, Vol. 18, no 4, 895-907 p.Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
Springer, 2014. Vol. 18, no 4, 895-907 p.
Keyword [en]
Smart parking, Sensor networks, Web of Things, Web services, Semantic Web
National Category
Computer Science
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-11912DOI: 10.1007/s00779-013-0694-7ISI: 000333341000014ScopusID: 2-s2.0-84897386772OAI: oai:DiVA.org:his-11912DiVA: diva2:902648
Available from: 2016-02-11 Created: 2016-02-11 Last updated: 2016-11-21Bibliographically approved

Open Access in DiVA

fulltext(921 kB)11 downloads
File information
File name FULLTEXT02.pdfFile size 921 kBChecksum SHA-512
3ce5f7ca2e4955179304dca8adf9ed84f1c1c9441db9917084e2a6289eb058e2023d2a7e8d9bf6aa882c5aa4d60a2378497a36db5e1eb3665b4169de75fdd227
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Atif, Yacine
In the same journal
Personal and Ubiquitous Computing
Computer Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 11 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 217 hits
ReferencesLink to record
Permanent link

Direct link