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...
| 主要な著者: | , , , |
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| フォーマット: | Conference or Workshop Item |
| 言語: | English |
| 出版事項: |
Springer Nature Singapore
2017
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| オンライン･アクセス: | http://psasir.upm.edu.my/id/eprint/64618/1/Applications%20of%20deep%20learning%20in%20severity%20prediction%20of%20traffic%20accidents.pdf |