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 …

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 …

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 …

Unmanned ships have drawn widespread attention for their potential to enhance
navigational safety, minimize human errors, and improve ship** efficiency. Nevertheless …

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 …

Collision avoidance algorithms are critical for enhancing ship navigation safety. To ensure
the reliability of these algorithms, comprehensive testing is imperative prior to their …

Maritime autonomous surface ships (MASS) promise enhanced efficiency, reduced human
errors, and to improve maritime traffic safety. However, MASS navigation in complex …

Many optimization methods for construction site layout planning (CSLP) generate the
shortest path of workers to calculate traveling costs and site safety performance. However …

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 …

Maritime autonomous surface ship (MASS) represents a significant advancement in
maritime technology, offering the potential for increased efficiency, reduced operational …