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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Bibliographic Details
Main Authors: Sameen, Maher Ibrahim, Pradhan, Biswajeet, Mohd Shafri, Helmi Zulhaidi, Hamid, Hussain
Format: Conference or Workshop Item
Language:English
Published: Springer Nature Singapore 2017
Online Access:http://psasir.upm.edu.my/id/eprint/64618/
http://psasir.upm.edu.my/id/eprint/64618/1/Applications%20of%20deep%20learning%20in%20severity%20prediction%20of%20traffic%20accidents.pdf

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