Cooperative path planning algorithm for marine surface vessels

Multi-target collision avoidance route planning under an ECDIS framework

“…Liu and Shi (2005) used neural networks and fuzzy set theory to assess the most threatening target ship and generate a corresponding collision-avoidance maneuver action in accordance with COLREGS, encounter forms, and the speed ratio and bearing of the ship. Tam and Bucknall (2013) effectively solved for an optimal collision avoidance path under in a multi-ship encounter situation, in accordance with the COLREGS knowledge base, the maneuvering characteristics of the ships, and the ship motion equations, but this study assumed that data on the mechanical properties and hydrodynamic characteristics (propulsion, resistance, radius of gyration, and stopping distance) of all the ships are known.…”

Modelling of marine traffic flow complexity

“…In Zhang et al (2015) research, they select distance, relative speed and encounter angle as factors. Tam and Bucknall (2013) introduce the Convention on the International Regulations for Preventing Collisions at Sea (COLREGs) (1972) into conflict risk estimate and emphasize the ships' relative location impact on the conflict risk evaluation.…”

“…In this paper, we combining the researches from Zhang et al (2015) and Tam and Bucknall (2013), we choice the relative distance (vector), relative speed (vector) and track-crossing angle (also named as encounter angle) as the basic factors. Fig.…”

Efficient Path Re-planning for AUVs Operating in Spatiotemporal Currents

“…The marine environment poses a rich field of challenges for AUV path planning systems, such as ocean currents, irregularly shaped terrains and dynamic and uncertain obstacles [23,29]. Dynamic path planning is a continual process which generates a new path by adapting previously computed paths for onwards travel.…”