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Nandal, Rainu. A review paper on drunk driving detection system using IOT & ML techniques. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2022.
A review paper on drunk driving detection system using IOT & ML techniques
Name: Kumar, Ajay
Organization :
U.I.E.T. Maharshi Dayanand University. Department of Computer Science & Engineering
Email :
ajay.itcs@gmail.com
Name: Nandal, Rainu
Organization :
U.I.E.T. Maharshi Dayanand University. Department of Computer Science & Engineering
Email :
rainu_nandal@yahoo.com
LCSH:
Drunk driving
LCSH:
Automobiles
-- Safety measures
LCSH:
Traffic safety
Abstract:
Nowadays, there is a significant increase in
drunken-driving accidents from the past few years. Drunk
driving has emerged as a significant problem in recent times.
With the help of different technological implementations, many
preventive measures are taken to date, such as alcohol
detection sensors, detection using speech, detection using
driving patterns, detection using IOT & Machine Learning
techniques etc. But each system has its limitations, such as
usability, complexity, scalability, burdensome implementation.
This paper describes the various approaches to detect drunken
driving with the advantages and disadvantages of each. Out of
these approaches, the article focuses on the detailed literature
review to discuss existing machine learning algorithms and
IOT methodologies to improve the accuracy of the system
which can be used in detecting drunken driving. At last, the
comparative review is done for all these approaches and we
found that Random forest classifier with two stage model is
most efficient, having high accuracy.
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2022
Modified:
2024-05-15
Issued:
2024-05-15
บทความ/Article
application/pdf
BibliograpyCitation :
In IEEE Computer Society. 2022 Fifth International Conference on Computational Intelligence and Communication Technologies (CCICT 2022) (pp.190-197). Los Alamitos, CA : IEEE Computer Society
eng
©copyrights King Mongkut's University of Technology North Bangkok
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0.027859 วินาที
Kumar, Ajay
| Title | Contributor | Type |
|---|---|---|
| A review paper on drunk driving detection system using IOT & ML techniques
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Kumar, Ajay;Nandal, Rainu | บทความ/Article |
Nandal, Rainu
| Title | Contributor | Type |
|---|---|---|
| A review paper on drunk driving detection system using IOT & ML techniques
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Kumar, Ajay;Nandal, Rainu | บทความ/Article |