[HTML][HTML] Harnessing the power of Machine learning for AIS Data-Driven maritime Research: A comprehensive review

Y Yang, Y Liu, G Li, Z Zhang, Y Liu - Transportation research part E …, 2024 - Elsevier
Abstract Automatic Identification System (AIS) data holds immense research value in the
maritime industry because of its massive scale and the ability to reveal the spatial–temporal …

Ship autonomous collision-avoidance strategies—A comprehensive review

H Lyu, Z Hao, J Li, G Li, X Sun, G Zhang, Y Yin… - Journal of Marine …, 2023 - mdpi.com
Autonomous decision-making for ships to avoid collision is core to the autonomous
navigation of intelligent ships. In recent years, related research has shown explosive growth …

Proximal policy optimization with reciprocal velocity obstacle based collision avoidance path planning for multi-unmanned surface vehicles

D Xue, D Wu, AS Yamashita, Z Li - Ocean Engineering, 2023 - Elsevier
The challenge of solving the collision avoidance path planning problem lies in adaptively
selecting the optimal agent velocity in complex scenarios full of reciprocal obstacles. To …

A partially observable multi-ship collision avoidance decision-making model based on deep reinforcement learning

K Zheng, X Zhang, C Wang, M Zhang, H Cui - Ocean & Coastal …, 2023 - Elsevier
Unmanned ships have drawn widespread attention for their potential to enhance
navigational safety, minimize human errors, and improve shipping efficiency. Nevertheless …

A novel maritime autonomous navigation decision-making system: Modeling, integration, and real ship trial

S Wang, Y Zhang, X Zhang, Z Gao - Expert Systems with Applications, 2023 - Elsevier
Abstract Maritime Autonomous Surface Ships (MASS) have obtained wide attention in recent
years, which is relied on their attractive socio-economic benefits and potential to improve …

Simulating travel paths of construction site workers via deep reinforcement learning considering their spatial cognition and wayfinding behavior

M Kim, Y Ham, C Koo, TW Kim - Automation in Construction, 2023 - Elsevier
Many optimization methods for construction site layout planning (CSLP) generate the
shortest path of workers to calculate traveling costs and site safety performance. However …

Optimizing anti-collision strategy for MASS: A safe reinforcement learning approach to improve maritime traffic safety

C Wang, X Zhang, H Gao, M Bashir, H Li… - Ocean & Coastal …, 2024 - Elsevier
Maritime autonomous surface ships (MASS) promise enhanced efficiency, reduced human
errors, and to improve maritime traffic safety. However, MASS navigation in complex …

Intelligent ship collision avoidance model integrating human thinking experience

Y Li, Y Peng, J Zheng - Ocean Engineering, 2023 - Elsevier
With the maturation of intelligent ship collision avoidance technology, the acceptability of this
technology has gained attention and the ship collision avoidance model is confronting …

Advanced Bayesian study on inland navigational risk of remotely controlled autonomous ship

C Fan, V Bolbot, J Montewka, D Zhang - Accident Analysis & Prevention, 2024 - Elsevier
The arise of autonomous ships has necessitated the development of new risk assessment
techniques and methods. This study proposes a new framework for navigational risk …

Understanding of sailing rule based on COLREGs: Comparison of navigator survey and automated collision-avoidance algorithm

JK Kim, DJ Park - Marine Policy, 2024 - Elsevier
Abstract The Convention on the International Regulations for Preventing Collisions at Sea
(COLREGs) comprises rules to prevent collisions at sea and is based on the qualitative rules …