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Estimation of Virtual Trust on Driverless Cars using Type-1 Fuzzy logic
Date
2024-02-21
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Abstract
The public's interest in self-driving automobiles
is growing daily. Because they improve our daily life and also
how they help us in various ways. They are also referred to as
robotic automobiles. These cars utilize cutting-edge technology
to efficiently address human mobility needs. Using the most
advanced technological elements, this is a significant
advancement in the automobile manufacturing sector. Over a
wireless network, these vehicles talk to one another. These
vehicles use cameras and sensors to take note of their
surroundings. Their whereabouts are monitored by GPS radar,
navigational pathways, and other tracking devices. If the
existing path is altered, the cars' positions are adjusted using a
sophisticated control system. These vehicles boost confidence,
increase road capacity, and decrease traffic accident. The major
benefit is a decrease in traffic enforcement, plus self-driving cars
consume less fuel than other types of vehicles and don't require
auto insurance. On the other hand, problems with software like
data security and dependability must be resolved. The most
crucial factor relates to driving jobs, which are the most
hazardous for people. The calculation of Virtual Trust (VT) in
driverless cars utilizing fuzzy logic design is the subject of this
study. Verified findings and analyses from the Mamdani Fuzzy
Inference System's (MFIS) test of virtual confidence in
autonomous vehicles. Utilizing MATLAB simulation, results
have been confirmed.
Description
Keywords
Driverless Cars
,
MFIS
,
VT
,
Direct Trust
Citation
Alhyasat, K.M.K. et al. (2022) “Estimation of Virtual Trust on Driverless Cars using Type-1 Fuzzy logic,” in 2022 International Conference on Cyber Resilience (ICCR), pp. 1–11.