Driving support by type-2 fuzzy logic control model

被引：55
|
作者：
Wozniak, Marcin [1 ]
Zielonka, Adam [1 ]
Sikora, Andrzej [2 ]
机构：
[1] Silesian Tech Univ, Fac Appl Math, Kaszubska 23, PL-44100 Gliwice, Poland
[2] Silesian Tech Univ, Fac Elect Engn, Akademicka 2, PL-44100 Gliwice, Poland
来源：
EXPERT SYSTEMS WITH APPLICATIONS | 2022年 / 207卷
关键词：
Smart car; IoT; Control system; Type-2 fuzzy model; SMART CAR; ROAD; SYSTEM;
D O I：
10.1016/j.eswa.2022.117798
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
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收藏
页数：12
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