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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM49098

A Review on Accident Prevention System Using IOT For Car Safety

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM49098

Volume:

9 |

5 |

May 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM49098

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

PSCC

PROF. SATISH C. CHOLKE1

HPW

HARSHAL PRASHANT WAGH2

JIS

JAYESH ISHWAR SONAWANE3

PSW

PRANIT SANJAY WAKODE4

RSA

RUTUJA SHARAD AGHAV5

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Abstract

. Car accidents are among the most catastrophic events. The causes of these accidents can vary, with driver inattention and excessive speed being significant factors. By utilizing IoT (Internet of Things) technology, we can work towards preventing and reducing the frequency of these incidents. IoT is rapidly advancing within the IT sector and aims to alleviate human burdens. This project proposes an innovative solution for accident prevention by developing an Accident Prevention System Using IoT for Car Safety. The system we are creating will monitor conditions to help minimize accidents. This paper outlines the development process of the accident prevention system. As the population grows, car usage has surged, resulting in a concerning increase in accident rates. The goal of this project is to prevent such accidents. Initially, we applied the Eclat algorithm to categorize accident locations into three levels: 0, 1, and 2.

KEYWORDS

Eclat algorithm Clustering Classification GPS tracking Accident.

Cite This Article

PROF. SATISH C. CHOLKE1, HARSHAL PRASHANT WAGH2, JAYESH ISHWAR SONAWANE3, PRANIT SANJAY WAKODE4, RUTUJA SHARAD AGHAV5, "A Review on Accident Prevention System Using IOT For Car Safety," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 5, May 2025. https://doi.org/10.55041/IJSREM49098

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Publication Date

5/29/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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