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Indian Road Conditions and Accident Risk Predictions using Deep Learning Approach – A Review
- Source :
- 2020 3rd International Conference on Intelligent Sustainable Systems (ICISS).
- Publication Year :
- 2020
- Publisher :
- IEEE, 2020.
-
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.
- Subjects :
- 050210 logistics & transportation
Computer science
business.industry
media_common.quotation_subject
Deep learning
05 social sciences
Accident risk
Ignorance
02 engineering and technology
Transport engineering
Work (electrical)
Road surface
0502 economics and business
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Artificial intelligence
business
media_common
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2020 3rd International Conference on Intelligent Sustainable Systems (ICISS)
- Accession number :
- edsair.doi...........8b01aba3f72469db2c0102bec980c86e