Research of Methods of Collision Warning and Avoidance Assistant Decision Making for the Ship in Typical Inland TSS Waters

Abstract

Inland ship collisions in traffic separation scheme (TSS) water usually cause serious consequences. Research on ship collision risk early warning and collision avoidance assistant decision making can reduce the possibility of collision accidents caused by humans and reduce collision accidents and provide a basis for ships’ autonomous collision avoidance decisions. A digital traffic environment model for the typical inland TSS waters is constructed as the basis of navigation warning and decision making. A collision risk warning framework, which takes the intention of collision avoidance for the target ship into account, is established based on the dead reckoning and domain of the ship under TSS waterway constraints. In addition, a ship nonlinear maneuvering process deduction-based dynamic adaptive collision avoidance decision method is proposed under the premise of satisfying the Regulation of the People’s Republic of China on Inland River Collision Avoidance and good seamanship. The simulation experiments proved that the research could realize dynamic collision risk warnings under different encounter situations and provide effective assistant collision avoidance decisions in typical inland TSS waters.