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Ship weather routing: A taxonomy and survey
Ship weather routing has seen considerably increasing attention in recent years in both
academia and industry. Problems in this area consider finding the optimal path and sailing …
academia and industry. Problems in this area consider finding the optimal path and sailing …
[HTML][HTML] Uncertainty in maritime ship routing and scheduling: A Literature review
The area of maritime transportation optimization has recently begun to achieve increasing
success at solving large scale models, and industry is steadily adopting operations research …
success at solving large scale models, and industry is steadily adopting operations research …
[HTML][HTML] A machine learning method for the prediction of ship motion trajectories in real operational conditions
This paper presents a big data analytics method for the proactive mitigation of grounding
risk. The model encompasses the dynamics of ship motion trajectories while accounting for …
risk. The model encompasses the dynamics of ship motion trajectories while accounting for …
Uncertainties in liner ship** and ship schedule recovery: A state-of-the-art review
Each ship** line is expected to establish a reliable operating model, and the design of
ship schedules is a key operational consideration. Long-term profits for ship** lines can …
ship schedules is a key operational consideration. Long-term profits for ship** lines can …
The restaurant delivery problem with uncertain cooking time and travel time
Eliminating delays under uncertain delivery conditions presents a formidable challenge for
meal delivery platforms. Nevertheless, by implementing effective measures, these platforms …
meal delivery platforms. Nevertheless, by implementing effective measures, these platforms …
Analysis of stationary and dynamic factors affecting highway accident occurrence: A dynamic correlated grouped random parameters binary logit approach
Traditional accident analysis typically explores non-time-varying (stationary) factors that
affect accident occurrence on roadway segments. However, the impact of time-varying …
affect accident occurrence on roadway segments. However, the impact of time-varying …
AIS data driven general vessel destination prediction: A random forest based approach
Ship** is one of the major transportation approaches around the world. With the growing
demands for global ship** service, vessel destination prediction has shown its significant …
demands for global ship** service, vessel destination prediction has shown its significant …
Improved reinforcement learning for collision-free local path planning of dynamic obstacle
The rapid development of artificial intelligence has driven the transformation of traditional
industry. The proposal for an intelligent ship reflects the development of the ship** …
industry. The proposal for an intelligent ship reflects the development of the ship** …
Cooperative multi-agent control for autonomous ship towing under environmental disturbances
Among the promising application of autonomous surface vessels (ASVs) is the utilization of
multiple autonomous tugs for manipulating a floating object such as an oil platform, a broken …
multiple autonomous tugs for manipulating a floating object such as an oil platform, a broken …
[HTML][HTML] Impacts of wind and current on ship behavior in ports and waterways: A quantitative analysis based on AIS data
In ports and waterways, the impacts of external navigational factors may lead to serious
incidents due to limited space for ship maneuvering. Using nautical traffic models, these …
incidents due to limited space for ship maneuvering. Using nautical traffic models, these …