Applications of deep learning in severity prediction of traffic accidents
This study investigates the power of deep learning in predicting the severity of injuries when accidents occur due to traffic on Malaysian highways. Three network architectures based on a simple feedforward Neural Networks (NN), Recurrent Neural Networks (RNN), and Convolutional Neural Networks (CNN...
| Main Authors: | , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
Springer Nature Singapore
2017
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/64618/1/Applications%20of%20deep%20learning%20in%20severity%20prediction%20of%20traffic%20accidents.pdf |