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HTS Group Henk Heuvelman, Director


‘Increasingly transport clients are asking for insight into our performance data. Using CoVadem we will soon be in a position to offer that information, where possible right down to the individual container’


Shipping Factory Remco Pikaart, Managing Director


is that it relates performance data to fairway conditions, resulting in unprecedented insight. This serves as a basis for automated support for smart and adaptive sailing. Early estima- tions expect average reductions in terms of both fuel and CO2 emissions of up to 15%. Whilst improvements lead to lower emissions per tonne kilometre, shipowners are also anonymously able to compare their performance with other vessels in the CoVadem fleet.


Transport & logistics CoVadem provides transparent metrics.


This enables the inland sector to support improved logistics decision-making such


8 report


as choosing the right transport modality to the benefit of their own market share. It will lead to a market-based incentive to make future performance improvements.


Waterway management authorities Real-time water depth information in


combination with hydrological prediction models enables proactive instead of reactive waterway management. Nowadays fairway maintenance is often based on just-in-time identification and clearance of river spots becoming too shallow. In order to swiftly remove these spots, equipment has to be constantly available. A proof of concept


‘With CoVadem we have laid a key foundation for the introduction of Smart Shipping and smart, adaptive sailing support. In the future we will be able to make better predictions of how a ship will behave in specific conditions, enabling us to anticipate better. This will make inland shipping safer, cleaner and more efficient.’


study showed that CoVadem is capable of detecting such spots up to five weeks in advance. Knowing this, the availability and scheduling of dredging equipment can be improved leading to cost savings.


Knowledge institutes Real-world measurement data is valuable


for the development of new and improved services. CoVadem data supports validation and impro vement of existing tools like the


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