Accident analysis for Port Terminals using Heterogeneous XAI-informed Machine Learning Approach
Author:
Affiliation:
1. Hanyang University,Smart City Engineering,Ansan,South Korea
2. Hanyang University,Transportation & Logistics Engineering, Smart City Engineering,Ansan,South Korea
3. Tongji University,Transportation Enginnering,Shanghai,China
Funder
National Research Foundation of Korea(NRF)
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10412665/10412686/10412729.pdf?arnumber=10412729
Reference25 articles.
1. Analysis on the Impact of the Korean Port Industry to the Regional Economy;Ha;[KMI] Research Report,2019
2. Korea Maritime Institute;Development of Countermeasures at Ports Following the Enforcement of the Serious Accidents Punishment Act,2021
3. Methodology of Calibration for Falling Objects Accident-Risk-Zone Approach Detection Algorithm at Port Considering GPS Errors
4. An Algorithm for Detecting Collision Risk between Trucks and Pedestrians in the Connected Environment
5. Risk Assessment of Work Accident in Container Terminals Using the Fault Tree Analysis Method
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