Volume 11 - Volume 11
An Efficient Analysis of Road Accidents Severity Using Novel Support Vector Machines Over Artificial Neural Networks with Improved Accuracy Rate
Abstract
Aim: To perform an efficient analysis of road accidents severity prediction using Support Vector
Machine and Artificial Neural Network algorithms. Materials and Methods: Road accident severity
prediction is performed by Support Vector Machine algorithm (N=10) and Artificial Neural
Network algorithm (N=10) using Traffic-crashes dataset. Results and Discussion: The road
accident severity prediction using Support Vector Machine algorithm (Accuracy 83.6%) and with
Artificial Neural Network algorithm (Accuracy 73.3%). There is no significant difference between
the groups. Conclusion: Within the limits of this study, SVM algorithm has significantly better
accuracy than ANN algorithm.
Paper Details
PaperID: 1740
Author's Name: U. Sravan Kumar and Dr.R. Beaulah Jeyavathana
Volume: Volume 11
Issues: Volume 11
Keywords: Machine Learning, Computer Vision, Novel SVM, Road Accident Severity Prediction, Artificial Neural Networks.
Year: 2021
Month: April
Pages: 1109-1122