Shore-Side Decision Recommendation for Traffic Situations with Highly Automated or Autonomous Vessels

Short title: LEAS

Funding reference number: 13N16248

Project period: Jan 2022 – Dec 2024

Project budget: 3.100.000 €

Research focus:

Focus 1 (since 02/2024): Knowledge Society, Sustainable Mobility and Value Creation in the Global Transformation
Focus 1 (until 01/2024): Knowledge Society in Global Change - Markets, Trade and Shipping

Structural unit:

Faculty of Engineering

Project management:

Prof. Dr.-Ing. Michael Baldauf

Project supporter:

VDI Technologiezentrum GmbH (VDI)

Funding:

Federal Ministry of Education and Research (BMBF)

Cover picture LEAS — Operator in a VTS traffic control centre monitoring traffic to ensure the safety and ease of shipping traffic
Source: Dr.-Ing. Michael Baldauf (private)

In LEAS, a decision support system is being developed for the shore-based monitoring and steering of future mixed maritime traffic consisting of conventional and autonomous ships.

The overall goal of the project is to increase the safety of current and future maritime transport by minimising the number of safety-critical incidents and maritime accidents. The aim of the sub-project being worked on by the Maritime Institute at the University of Applied Sciences in Wismar is to research ways of taking manoeuvring characteristics into account in the land-based monitoring of shipping traffic. Up to now, the consideration of manoeuvring characteristics in land-based traffic monitoring has only been carried out on the basis of the recorded ship and environmental data and the mental models, based on seafaring experience, of the ship movements of the operators working in the traffic centres. The manoeuvring characteristics are the essential objective influencing variable for timely shore-based intervention in developing critical traffic situations.