A cloud-based car parking middleware for IoT-based smart cities: Design and implementation

Zhanlin Ji, Ivan Ganchev, Máirtín O'Droma, Li Zhao, Xueji Zhang

Research output: Contribution to journalArticlepeer-review

Abstract

This paper presents the generic concept of using cloud-based intelligent car parking services in smart cities as an important application of the Internet of Things (IoT) paradigm. This type of services will become an integral part of a generic IoT operational platform for smart cities due to its pure business-oriented features. A high-level view of the proposed middleware is outlined and the corresponding operational platform is illustrated. To demonstrate the provision of car parking services, based on the proposed middleware, a cloud-based intelligent car parking system for use within a university campus is described along with details of its design, implementation, and operation. A number of software solutions, including Kafka/Storm/Hbase clusters, OSGi web applications with distributed NoSQL, a rule engine, and mobile applications, are proposed to provide 'best' car parking service experience to mobile users, following the Always Best Connected and best Served (ABC&S) paradigm.

Original languageEnglish
Pages (from-to)22372-22393
Number of pages22
JournalSensors
Volume14
Issue number12
DOIs
Publication statusPublished - 25 Nov 2014

Keywords

  • Always Best Connected and best Served (ABC&S)
  • Car parking
  • Hadoop
  • Intelligent Transport Systems (ITS)
  • Internet of Things (IoT)
  • Middleware
  • Smart cities

Fingerprint

Dive into the research topics of 'A cloud-based car parking middleware for IoT-based smart cities: Design and implementation'. Together they form a unique fingerprint.

Cite this