Autonomous port management based AGV path planning and optimization via an ensemble reinforcement learning framework
The rapid development of shipping trade pushes automated container terminals toward the
direction of intelligence, safety and efficiency. In particular, the formulation of AGV …
direction of intelligence, safety and efficiency. In particular, the formulation of AGV …
Exploring the factors affecting the performance of shipping companies based on a panel data model: A perspective of antitrust exemption and shipping alliances
G Xiao, T Wang, W Shang, Y Shu, SA Biancardo… - Ocean & Coastal …, 2024 - Elsevier
Globally, some large shipping companies have started large-scale joint ventures to seek
future development and cooperation while seizing the opportunities of the times. Meanwhile …
future development and cooperation while seizing the opportunities of the times. Meanwhile …
Optimizing anti-collision strategy for MASS: A safe reinforcement learning approach to improve maritime traffic safety
Maritime autonomous surface ships (MASS) promise enhanced efficiency, reduced human
errors, and to improve maritime traffic safety. However, MASS navigation in complex …
errors, and to improve maritime traffic safety. However, MASS navigation in complex …
Data-driven approach for port resilience evaluation
As pivotal nodes in international trade, ports have faced unprecedented challenges,
particularly in the context of the COVID-19 pandemic. From the perspective of port …
particularly in the context of the COVID-19 pandemic. From the perspective of port …
Port Congestion and Urban Particulate Matter Concentration: A Machine Learning Based Study
M Su, J Li, Z Su, W Kim - Available at SSRN 4853508 - papers.ssrn.com
Port congestion has become a critical transportation issue that port cities urgently need to
address. More importantly, there has been limited research focusing on the impact of port …
address. More importantly, there has been limited research focusing on the impact of port …