A survey on vehicular cloud computing

Md Whaiduzzaman, Mehdi Sookhak, Abdullah Gani, Rajkumar Buyya

Research output: Contribution to journalReview articlepeer-review

628 Citations (Scopus)


Vehicular networking has become a significant research area due to its specific features and applications such as standardization, efficient traffic management, road safety and infotainment. Vehicles are expected to carry relatively more communication systems, on board computing facilities, storage and increased sensing power. Hence, several technologies have been deployed to maintain and promote Intelligent Transportation Systems (ITS). Recently, a number of solutions were proposed to address the challenges and issues of vehicular networks. Vehicular Cloud Computing (VCC) is one of the solutions. VCC is a new hybrid technology that has a remarkable impact on traffic management and road safety by instantly using vehicular resources, such as computing, storage and internet for decision making. This paper presents the state-of-the-art survey of vehicular cloud computing. Moreover, we present a taxonomy for vehicular cloud in which special attention has been devoted to the extensive applications, cloud formations, key management, inter cloud communication systems, and broad aspects of privacy and security issues. Through an extensive review of the literature, we design an architecture for VCC, itemize the properties required in vehicular cloud that support this model. We compare this mechanism with normal Cloud Computing (CC) and discuss open research issues and future directions. By reviewing and analyzing literature, we found that VCC is a technologically feasible and economically viable technological shifting paradigm for converging intelligent vehicular networks towards autonomous traffic, vehicle control and perception systems.

Original languageEnglish
Pages (from-to)325-344
Number of pages20
JournalJournal of Network and Computer Applications
Issue number1
Publication statusPublished - Apr 2014


  • Cloud computing
  • Intelligent transportation systems
  • Road vehicle control
  • Vehicular cloud computing
  • Vehicular networks


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