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Towards Reasoning Vehicles: A Survey of Fuzzy Logic-Based Solutions in Vehicular Networks

Published: 06 December 2017 Publication History

Abstract

Vehicular networks and their associated technologies enable an extremely varied plethora of applications and therefore attract increasing attention from a wide audience. However, vehicular networks also have many challenges that arise mainly due to their dynamic and complex environment. Fuzzy Logic, known for its ability to deal with complexity, imprecision, and model non-deterministic problems, is a very promising technology for use in such a dynamic and complex context. This article presents the first comprehensive survey of research on Fuzzy Logic approaches in the context of vehicular networks, and provides fundamental information which enables readers to design their own Fuzzy Logic systems in this context. As such, this article describes the Fuzzy Logic concepts with emphasis on their implementation in vehicular networks, includes classification and thorough analysis of the Fuzzy Logic-based solutions in vehicular networks, and discusses how Fuzzy Logic could be employed in the context of some of the key research directions in the 5G-enabled vehicular networks.

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      cover image ACM Computing Surveys
      ACM Computing Surveys  Volume 50, Issue 6
      November 2018
      752 pages
      ISSN:0360-0300
      EISSN:1557-7341
      DOI:10.1145/3161158
      • Editor:
      • Sartaj Sahni
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      Publication History

      Published: 06 December 2017
      Accepted: 01 July 2017
      Revised: 01 June 2017
      Received: 01 January 2017
      Published in CSUR Volume 50, Issue 6

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      Author Tags

      1. Fuzzy logic
      2. computational intelligence
      3. smart vehicles
      4. vehicular networks

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      • Dublin City University under the Daniel O'Hare Research Scholarship scheme
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