most citedPredicting Berth Stay for Tanker Terminals: A Systematic and Dynamic Approach

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026

Towards Long-Horizon Vessel Trajectory and Destination Forecasting with Reasoning Large Language Models

Hongwei Wang, Miao Zhou, Fengde Wang +10

Long-horizon maritime trajectory prediction is important for shipping management, logistics planning, and maritime risk analysis, yet month-level forecasting remains insufficiently…

cs.CE2022★ 3 cited

Predicting Berth Stay for Tanker Terminals: A Systematic and Dynamic Approach

Deqing Zhai, Xiuju Fu, Xiao Feng Yin +2

Given the trend of digitization and increasing number of maritime transport, prediction of vessel berth stay has been triggered for requirements of operation research and schedulin…

eess.SY2022

Constructing Trajectory and Predicting Estimated Time of Arrival for Long Distance Travelling Vessels: A Probability Density-based Scanning Approach

Deqing Zhai, Xiuju Fu, Xiao Feng Yin +3

In this study, a probability density-based approach for constructing trajectories is proposed and validated through an typical use-case application: Estimated Time of Arrival (ETA)…

cs.CE2022

Optimizing Coordinative Schedules for Tanker Terminals: An Intelligent Large Spatial-Temporal Data-Driven Approach -- Part 2

Deqing Zhai, Xiuju Fu, Xiao Feng Yin +3

In this study, a novel coordinative scheduling optimization approach is proposed to enhance port efficiency by reducing weighted average turnaround time. The proposed approach is d…

cs.CE2022

Optimizing Coordinative Schedules for Tanker Terminals: An Intelligent Large Spatial-Temporal Data-Driven Approach -- Part 1

Deqing Zhai, Xiuju Fu, Xiao Feng Yin +3

In this study, a novel coordinative scheduling optimization approach is proposed to enhance port efficiency by reducing average wait time and turnaround time. The proposed approach…