Applications of soft computing in intelligent transportation systems

  • Antonio D. Masegosa*
  • , Enrique Onieva
  • , Pedro Lopez-Garcia
  • , Eneko Osaba
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

8 Citations (Scopus)

Abstract

Intelligent Transportation Systems emerged to meet the increasing demand for more efficient, reliable and safer transportation systems. These systems combine electronic, communication and information technologies with traffic engineering to respond to the former challenges. The benefits of Intelligent Transportation Systems have been extensively proved in many different facets of transport and Soft Computing has played a major role in achieving these successful results. This book chapter aims at gathering and discussing some of the most relevant and recent advances of the application of Soft Computing in four important areas of Intelligent Transportation Systems as autonomous driving, traffic state prediction, vehicle route planning and vehicular ad hoc networks.

Original languageEnglish
Title of host publicationStudies in Fuzziness and Soft Computing
PublisherSpringer Verlag
Pages63-81
Number of pages19
DOIs
Publication statusPublished - 2018
Externally publishedYes

Publication series

NameStudies in Fuzziness and Soft Computing
Volume360
ISSN (Print)1434-9922

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