Applications of deep learning in severity prediction of traffic accidents

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...

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Detaylı Bibliyografya
Asıl Yazarlar: Sameen, Maher Ibrahim, Pradhan, Biswajeet, Mohd Shafri, Helmi Zulhaidi, Hamid, Hussain
Materyal Türü: Conference or Workshop Item
Dil:English
Baskı/Yayın Bilgisi: Springer Nature Singapore 2017
Online Erişim:http://psasir.upm.edu.my/id/eprint/64618/1/Applications%20of%20deep%20learning%20in%20severity%20prediction%20of%20traffic%20accidents.pdf

Internet

http://psasir.upm.edu.my/id/eprint/64618/1/Applications%20of%20deep%20learning%20in%20severity%20prediction%20of%20traffic%20accidents.pdf

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