UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 10
October-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2110101


Registration ID:
315811

Page Number

b1-b12

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Title

DRIVING BEHAVIOR STUDY USING HYBRID MACHINE LEARNING FRAMEWORK WITH RECOMMENDATION SYSTEM

Abstract

In today's modern world, everyone is in a rush to accomplish their objectives (to meet targets/destinations) as quickly as possible. People drive on the road and drive faster in order to get there, which might result in traffic accidents and severe/serious injuries. It's also a general belief that closely monitoring a person's actions would significantly reduce accidents while also enabling safe driving. A driver behaviour analysis and prediction system has been proposed as a solution to this problem, which analyzes the vehicle's speed mean while collects the essential information about reckless driving, which is a frequent occurrence among drivers. For each ride taken by the driver, a real-time data is obtained, and the data is then uploaded (updated) in the Cab Management System (CMS) for interpretation. Drivers can be employed, rewarded (by incentives), and promoted using CMS data. The strategic recommendation aids in the recruitment and advancement of employees, as well as the reduction of road accidents.

Key Words

Cab Management System, Traffic Accidents, Rash Driving, Machine Learning, Naive Bayes Algorithm, Random Forest Algorithm.

Cite This Article

"DRIVING BEHAVIOR STUDY USING HYBRID MACHINE LEARNING FRAMEWORK WITH RECOMMENDATION SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 10, page no.b1-b12, October-2021, Available :http://www.jetir.org/papers/JETIR2110101.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"DRIVING BEHAVIOR STUDY USING HYBRID MACHINE LEARNING FRAMEWORK WITH RECOMMENDATION SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 10, page no. ppb1-b12, October-2021, Available at : http://www.jetir.org/papers/JETIR2110101.pdf

Publication Details

Published Paper ID: JETIR2110101
Registration ID: 315811
Published In: Volume 8 | Issue 10 | Year October-2021
DOI (Digital Object Identifier):
Page No: b1-b12
Country: Chamarajnagar, Karnataka, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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