Development of a global road safety performance function using deep neural networks
This paper explores the idea of applying a machine learning approach to develop a global road safety performance function (SFP) that can be used to predict the expected crash frequencies of different highways from different regions. A deep belief network (DBN) – one of the most popular deep learning...
Main Authors: | Guangyuan Pan, Liping Fu, Lalita Thakali |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2017-09-01
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Series: | International Journal of Transportation Science and Technology |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2046043017300199 |
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