Paper Info
Title
Driving support by type-2 fuzzy logic control model
Abstract
Advanced models of Artificial Intelligence enable systems of IoT to work with great flexibility to the needs of users. In this article we present our developed IoT system for driving support by the use of type-2 fuzzy logic control module. We have developed the IoT system to collect the data about driving conditions and evaluate them adjusting to the needs of user. Applied module of fuzzy logic of the second type was used in analysis of accelerometers signals to flexibly adjust to uncertainty of evaluation of driving expectations of each driver. Our developed system was tested in different cars by driving on various roads and results show excellent efficiency.
Year
DOI
Venue
2022
10.1016/j.eswa.2022.117798
Expert Systems with Applications
Keywords
DocType
Volume
Smart car,IoT,Control system,Type-2 fuzzy model
Journal
207
ISSN
Citations 
PageRank 
0957-4174
0
0.34
References 
Authors
4
3
Name
Order
Citations
PageRank
Marcin Wozniak13613.22
Adam Zielonka200.34
Andrzej Sikora300.34