Applications of soft computing in intelligent transportation systems

Antonio D. Masegosa; Enrique Onieva; Pedro Lopez-Garcia; Eneko Osaba

doi:10.1007/978-3-319-64286-4_4

Applications of soft computing in intelligent transportation systems

Antonio D. Masegosa^*
, Enrique Onieva
, Pedro Lopez-Garcia
, Eneko Osaba

^*Corresponding author for this work

University of Deusto
Ikerbasque, Basque Foundation for Science

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-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 language	English
Title of host publication	Studies in Fuzziness and Soft Computing
Publisher	Springer Verlag
Pages	63-81
Number of pages	19
DOIs	https://doi.org/10.1007/978-3-319-64286-4_4
Publication status	Published - 2018
Externally published	Yes

Publication series

Name	Studies in Fuzziness and Soft Computing
Volume	360
ISSN (Print)	1434-9922

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

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10.1007/978-3-319-64286-4_4

Cite this

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AU - Onieva, Enrique

AU - Lopez-Garcia, Pedro

AU - Osaba, Eneko

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AB - 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.

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Applications of soft computing in intelligent transportation systems

Abstract

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UN SDGs

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