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...

詳細記述

書誌詳細
主要な著者: Sameen, Maher Ibrahim, Pradhan, Biswajeet, Mohd Shafri, Helmi Zulhaidi, Hamid, Hussain
フォーマット: Conference or Workshop Item
言語:English
出版事項: Springer Nature Singapore 2017
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