Building sustainable parking lots with the Web of Things

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

    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


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

    ASJC Scopus subject areas

    • Hardware and Architecture
    • Computer Science Applications
    • Management Science and Operations Research


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