Crash prediction for freeway work zones in real time: A comparison between Convolutional Neural Network and Binary Logistic Regression model
Safety of drivers in freeway work zones has been a problem. Real-time crash prediction helps prevent crashes before they happen. This paper looks at real-time crash prediction in freeway work zones by using machine learning approaches. Both the Convolutional Neural Network and the Binary Logistic Re...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
KeAi Communications Co., Ltd.
2022-09-01
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Series: | International Journal of Transportation Science and Technology |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2046043021000514 |