Research insight ยท Autonomous navigation
Autonomous vessel development depends not only on control algorithms, but also on understanding how traffic evolves, where risk emerges and how decisions affect surrounding vessels.
Modern maritime traffic systems generate large volumes of AIS, trajectory and operational data. Research can transform this data into traffic networks, collision-risk indicators, route predictions and decision-support inputs. Simulation then provides a controlled environment for testing how intelligent systems respond.
Research profiles from Wuhan University of Technology describe work in autonomous navigation control, maritime traffic organization, multi-source risk quantification, ship trajectory analysis and unmanned surface-vessel planning. These themes support ERUN's development direction in intelligent vessel and autonomous-operation simulation.