Severity prediction of traffic accidents with recurrent neural networks

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Severity prediction of traffic accidents with recurrent neural networks

In this paper, a deep learning model using a Recurrent Neural Network (RNN) was developed and employed to predict the injury severity of traffic accidents based on 1130 accident records that have occurred on the North-South Expressway (NSE), Malaysia over a six-year period from 2009 to 2015. Compare...

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Bibliographic Details
Main Authors:	Sameen, Maher Ibrahim, Pradhan, Biswajeet
Format:	Article
Language:	English
Published:	MDPI 2017
Online Access:	http://psasir.upm.edu.my/id/eprint/63203/ http://psasir.upm.edu.my/id/eprint/63203/1/Severity%20Prediction%20of%20Traffic%20Accidents%20with%20Recurrent%20Neural%20Networks.pdf

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