Sea Traffic and Nautical Solutions

Sea Traffic and Nautical Solutions

Sea Traffic and Nautical Solutions

The growth of maritime transport and ship sizes brings challenges for safety and efficiency in shipping, faced by innovations in information technology and nautical solutions.
The CML brings these two aspects together in the field Sea Traffic and Nautical Solutions. Thus waterways, vessel traffic and ship handling technologies are analyzed, evaluated and optimized, thereby improving the safety and efficiency of vessel traffic.


Core Competences:

• Use of ship handling simulators as test environments for innovative nautical technologies and processes
• Development and assessment of technologies for autonomous systems and nautical assistance systems
• Nautical safety analyses for planning approval purposes and port layout assessment
• Nautical risk analysis and maneuver optimization
• AIS-supported analyses of maritime transport and routing

Here you will find detailed information on a selection of our products, solutions and references

Our information sheets provide detailed information about individual products, solutions and references from our fields of activity in Sea Traffic and Nautical Solutions. You can access and download the information via the adjacent link.

Products, solutions and references

Research, studies and results

MaLiTuP - Machine Learning in Theory and Practice

Increasing digitalization, rapid developments of machine learning and artificial intelligence as well as exponentially growing accumulation of data and automisation lead to new jobs in the areas of IT, data science and research. Likewise in the field of (maritime) logistics, digitalization is becoming increasingly important, resulting in an ever-increasing demand for trained personnel in the field of machine learning. One facilitator of maritime digitalization was the introduction of the Automated Identification System, which opened up a number of possibilities using machine learning in the maritime sector. The aim of MaLiTuP is to provide master‘s students of Logistics with an additional permanent academic offer in the field of machine learning.

TINA - Techniques for Interactive Nautical AIS data analyses

With the introduction of the Automatic Identification System (AIS), efficiency and safety of the maritime transport could be increased by the automated exchange of position, speed, course and other data. Hence, in the past years a treasury of data of unexcpeted dimensions and possibilities has been accumulated. The objective of TINA is to identify potential interactive applications of the data registered in the course of the digitalization of shipping.


Project VESTVIND - Improved forecast of ship movements

Knowledge of ship arrivals is essential for the efficiency of port processes. This enables the partners involved to plan and optimise at an early stage. However, different influences lead to deviations. For this purpose, the Fraunhofer CML and TRENZ AG are developing a prediction model for ship arrivals in German seaports as part of the VESTVIND project. Ship arrivals should be reliably predicted up to 72 hours before arrival. Learn more about VESTVIND here.