PROGNOSTICATING ROAD TRAFFIC ACCIDENT BY USING MACHINE LEARNING TECHNIQUES
P. Vishnu Vardhan
, K. Madhu Kumar , J. Uday Krishna , S. Naveen , Mrs.S.Salini
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.
"PROGNOSTICATING ROAD TRAFFIC ACCIDENT BY USING MACHINE LEARNING TECHNIQUES", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 4, page no.2208 - 2212, April-2023, Available :https://ijsdr.org/papers/IJSDR2304343.pdf
Volume 8
Issue 4,
April-2023
Pages : 2208 - 2212
Paper Reg. ID: IJSDR_205479
Published Paper Id: IJSDR2304343
Downloads: 000347193
Research Area: Computer Engineering
Country: Ongole, Andhra Pradesh, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
