Indian Road Conditions and Accident Risk Predictions using Deep Learning Approach – A Review
Partheeban Pachaivannan, Rani Hemamalini Ranganathan, P. Navin Elamparithi, R. Dhanagopal
Abstract
Indian road conditions are very concerning as they are traffic prone in many locations. Further, the road surface conditions are not uniform in several places which may lead to a sudden impact on the vehicle dwellers on the highways. Furthermore, the driver may be the cause of accidents due to ignorance and improper focus on the road during driving. Statistical sources show that there are many reasons regarding the risk of road accidents to consider while calculating the reasons and the risk of road accidents. Various factors lead to road accidents and hence a strong methodology and the support of computer-aided support is required to solve such critical problems. The current work deals with the application of the deep learning approach to predict critical road accidents.