Building sustainable parking lots with the Web of Things

Sujith Samuel Mathew*, Yacine Atif, Quan Z. Sheng, Zakaria Maamar

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

20 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)895-907
Number of pages13
JournalPersonal and Ubiquitous Computing
Issue number4
Publication statusPublished - Apr 2014
Externally publishedYes


  • Semantic Web
  • Sensor networks
  • Smart parking
  • Web of Things
  • Web services


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