A Novel Framework of Real-Time Regional Collision Risk Prediction Based on the RNN Approach

A Novel Framework of Real-Time Regional Collision Risk Prediction Based on the RNN Approach

Regional collision risk identification and prediction is important for traffic surveillance in maritime transportation. This study proposes a framework of real-time prediction for regional collision risk by combining Density-Based Spatial Clustering of Applications with Noise (DBSCAN) technique, Sha...

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Bibliographic Details
Main Authors: Dapei Liu, Xin Wang, Yao Cai, Zihao Liu, Zheng-Jiang Liu
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Journal of Marine Science and Engineering
Subjects:
regional collision risk
risk identification
risk prediction
shapely value
recurrent neural network
Online Access:https://www.mdpi.com/2077-1312/8/3/224

Internet

https://www.mdpi.com/2077-1312/8/3/224

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