LEAS – shore-side decision support for traffic situations with highly automated or autonomous vessels using AI.
Description: This project aims to increase maritime safety and is designed in the area of safety research. Through the use of artificial intelligence, the Vessel Traffic Service Center (VTS), Fleet Operation Center (FOC), and Vessel Coordination Center (VCC) will be technologically prepared for the occurrence of highly automated vessels. Concepts are being developed to visualize this information in the Human Machine Interface (HMI).
LEAS is focused on the design, implementation and demonstration of shore-side support services based on artificial intelligence (AI) for conventional to autonomously navigating and possibly unmanned vessels (mixed traffic). Thus, a maritime transport scenario is addressed for which – apart from some simulation studies – no practical experience on operational requirements and procedures is available. The developed advisory components and modules shall be based on elements working with artificial intelligence
The following example of a fictitious safety scenario is used to illustrate the issue of shore-side support to improve the safety and efficiency of coastal maritime transportation for traffic situations involving highly automated or autonomous vessels in relation to vessel traffic services (VTS) centers.
Thomas recently successfully completed his training as an operator in a VTS traffic center. He is one of the first to practice this profession without having gone to sea himself. It is October 2025, an autumn night with showers and gusty winds is approaching. Besides Thomas, there are two other employees on duty, so the minimum manning requirement is met.
LEAS – shore-side decision support for traffic situations with highly automated or autonomous vessels using AI.