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.
引用
收藏
页数：12
相关论文
共 50 条
  • [21] Evaluation of professional driver's eco-driving skills based on type-2 fuzzy logic model
    Zdravkovic, Stefan
    Vujanovic, Davor
    Stokic, Marko
    Pamucar, Dragan
    [J]. NEURAL COMPUTING & APPLICATIONS, 2021, 33 (18): : 11541 - 11554
  • [22] Evaluation of professional driver’s eco-driving skills based on type-2 fuzzy logic model
    Stefan Zdravković
    Davor Vujanović
    Marko Stokić
    Dragan Pamučar
    [J]. Neural Computing and Applications, 2021, 33 : 11541 - 11554
  • [23] Single Intersection Signal Control Based on Type-2 Fuzzy Logic
    Bi, Yunrui
    Srinivasan, Dipti
    Lu, Xiaobo
    Sun, Zhe
    [J]. PROCEEDINGS OF THE 2013 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN VEHICLES AND TRANSPORTATION SYSTEMS (CIVTS), 2013, : 25 - 31
  • [24] Type-2 fuzzy logic control of a flexible-joint manipulator
    Chaoui, Hicham
    Gueaieb, Wail
    [J]. JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2008, 51 (02) : 159 - 186
  • [25] Type-2 Fuzzy Logic Control of a Flexible-Joint Manipulator
    Hicham Chaoui
    Wail Gueaieb
    [J]. Journal of Intelligent and Robotic Systems, 2008, 51 : 159 - 186
  • [26] Mobile robot control using type-2 fuzzy logic system
    Phokharatkul, P
    Phaiboon, S
    [J]. 2004 IEEE CONFERENCE ON ROBOTICS, AUTOMATION AND MECHATRONICS, VOLS 1 AND 2, 2004, : 296 - 299
  • [27] Intelligent control using type-2 fuzzy logic and evolutionary computing
    Castillo, O
    Huesca, G
    Valdez, F
    [J]. 8TH WORLD MULTI-CONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL V, PROCEEDINGS: COMPUTER SCIENCE AND ENGINEERING, 2004, : 41 - 46
  • [28] Interval type-2 fuzzy logic system in shower control application
    Wang, Tao
    Zhang, Kai
    [J]. ICIC Express Letters, 2013, 7 (04): : 1305 - 1310
  • [29] ODOUR POLLUTION CONTROL USING TYPE-2 FUZZY LOGIC CONTROLLER
    Pohan, Muhammad Aria Rajasa
    Taufiqurrahman, Dhiyaa Rifqi
    Sitanggang, Fernando
    Fitriani, Vania Rheta Luthfia
    [J]. JOURNAL OF ENGINEERING SCIENCE AND TECHNOLOGY, 2023, 18 (01): : 48 - 57
  • [30] On the Interval Type-2 Fuzzy Logic Control of Ball and Plate System
    Farooq, Umar
    Gu, Jason
    Luo, Jun
    [J]. 2013 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO), 2013, : 2250 - 2256
12345