Modelling dynamic maritime traffic complexity with radial distribution functions

The identification of maritime traffic complexity is important to guide surveillance operators towards the more critical areas for real-time monitoring situation. To identify and map effectively, this paper proposes a dynamic model based on radial distribution functions. For modelling complexity, three sub models are established first by addressing speed, course position ships. each sub-model, main variable used building function model, variation method estimate complexity. Finally, overall can be identified mapped synthesizing results from sub-models. AIS data in northern Yellow Sea China validating proposed model. show that effectively studied sea area, have an advantage some special area compared with previous By applying better monitor situation improve their working efficiency, which crucial improvement navigational safety.