Automatic Traffic Control of Autonomous Vessels in Coastal Waters

The paper examines an approach to arrange marine autonomous surface ships (both with and without crew) traffic surveillance illustrated with the Amur Bay and the Golden Horn Bay water area of the city of Vladivostok. The approach involves real-time application of a computer alliance based on General Packet Radio Service (GPRS) and Global Positioning System (GPS) satellite navigation technologies. The research presents the diagram of the system to observe autonomous surface ships located in the coastal area, as well as the assessment algorithm of the current navigation. Machine learning methods applied for analyzing the obtained information contribute to the fast and quite accurate review of the surface navigation, as well as hazard evaluation of vehicles caught in the area of heading in a sea autonomous surface vessel assessment.