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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 7 | Month- July 2024
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Paper Title
DETERMINING AND THE VIGILANCE OF ROAD ACCIDENT HOTSPOTS USING MACHINE LEARNING TECHNIQUES
Authors
CH.Rajya Lakshmi, B.Neelaveni, K.P.Satya Kiran, CH.Deepak Chowdary
Keywords
Decision Tree (DT), Logistic Regression (LR), Random Forests (RF), Severity Index (SI).
Abstract
The statistical analytic technique investigates the influence of the accident Severity Index (SI) on temporal-spatial patterns of accident hotspots related to specific time intervals.10 years of Andhra Pradesh (AP) Road Traffic Accident (RTA) data were used to analyze and test this approach. Finding the Accidents Hotspots according to the severity is the most crucial task. This study abridged to find the severity of the accident and map the locations. The model which we enact using supervised machine learning algorithms, such as Decision Tree (DT), Logistic Regression (LR), and Random Forests (RF) are implemented on traffic accident data. SMOTE algorithm is used for handling the data imbalance. An RF model can provide insights into the severity of traffic injuries, according to the result of this study. RF algorithm has shown better performance with 70% accuracy than LR with 72.5%, and RF with 63.6% accuracy.
IJCRT's Publication Details
Unique Identification Number - IJCRT2211504
Paper ID - 228154
Page Number(s) - e346-e351
Pubished in - Volume 10 | Issue 11 | November 2022
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
CH.Rajya Lakshmi, B.Neelaveni, K.P.Satya Kiran, CH.Deepak Chowdary, "DETERMINING AND THE VIGILANCE OF ROAD ACCIDENT HOTSPOTS USING MACHINE LEARNING TECHNIQUES", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 11, pp.e346-e351, November 2022, Available at :http://www.ijcrt.org/papers/IJCRT2211504.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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