Development of a global road safety performance function using deep neural networks

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...

Full description

Bibliographic Details
Main Authors: Guangyuan Pan, Liping Fu, Lalita Thakali
Format: Article
Language:English
Published: Elsevier 2017-09-01
Series:International Journal of Transportation Science and Technology
Subjects:
Road safety
Collision model
Global model
Deep learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2046043017300199

Internet

http://www.sciencedirect.com/science/article/pii/S2046043017300199

Similar Items