Machine Learning-Based Models for Accident Prediction at a Korean Container Port

Machine Learning-Based Models for Accident Prediction at a Korean Container Port

The occurrence of accidents at container ports results in damages and economic losses in the terminal operation. Therefore, it is necessary to accurately predict accidents at container ports. Several machine learning models have been applied to predict accidents at a container port under various tim...

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Bibliographic Details
Main Authors: Jae Hun Kim, Juyeon Kim, Gunwoo Lee, Juneyoung Park
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Sustainability
Subjects:
container port
machine learning
accident prediction model
neural network
random forest
gradient boosting
Online Access:https://www.mdpi.com/2071-1050/13/16/9137

Internet

https://www.mdpi.com/2071-1050/13/16/9137

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