INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
PROGNOSTICATING ROAD TRAFFIC ACCIDENT BY USING MACHINE LEARNING TECHNIQUES
Authors Name:
P. Vishnu Vardhan
, K. Madhu Kumar , J. Uday Krishna , S. Naveen , Mrs.S.Salini
Unique Id:
IJSDR2304343
Published In:
Volume 8 Issue 4, April-2023
Abstract:
In current years, street traffic crashes have turn out to be a worldwide problem and have turn out to be the ninth leading purpose of dying within the international. Due to the huge quantity of visitors accidents every yr, it has turn out to be a big problem in our us of a. It is absolutely unacceptable and unfortunate to permit a unmarried citizen to be involved in site visitors accidents. Therefore, an correct evaluation is required to address this cumulative state of affairs. At the equal time, a closer analysis of visitors injuries might be accomplished to determine the depth of injuries the usage of system studying processes in our usa. We also highlight the significant elements that simply have an effect on avenue traffic crashes and offer some useful guidelines on the problem. The analysis changed into executed the use of a gadget mastering selection tree, random woodland, and logistic regression, those 3 mastering methods were used to categorise the severity of accidents into categories of fatal, extreme, and easy injuries.
Keywords:
Cite Article:
"PROGNOSTICATING ROAD TRAFFIC ACCIDENT BY USING MACHINE LEARNING TECHNIQUES", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.2208 - 2212, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304343.pdf
Downloads:
000337070
Publication Details:
Published Paper ID: IJSDR2304343
Registration ID:205479
Published In: Volume 8 Issue 4, April-2023
DOI (Digital Object Identifier):
Page No: 2208 - 2212
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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