Royal Haskoning's Marine Traffic Risk Assessment Model (MARTRAM) provides a sophisticated modelling tool that is optimised for the analysis of marine risk in areas of congested and high volume marine navigation.

As with any transport network, marine navigation increasingly requires assessment and review of potential risk.  The model incorporates a wide range of features that allow realistic representation of marine navigation while permitting the modelling of major navigational study areas without compromising speed and accuracy of the model and its output.  The tool allows full "what if?" scenario analysis providing flexibility for the model analysts to manipulate routes and vessel patterns to assess any range of options.

MARTRAM is configured to model marine risk, the potential for accidents rather than assessing the level or nature of the hazards associated to the risk.  In essence, the model focuses on the potential for vessel collisions where one or more vessel is under navigation.  The level of marine risk is measured in terms of vessel encounters, and the model will also provide data for analysis related to strandings and grounding based on the physical characteristics of the navigational channels and the volume of shipping passing through them.

The model is highly configurable with the analyst able to specify detailed parameters for as many classes of vessel as are required for the study.  Vessel parameters allow for physical dimensions of each vessel class as well as the vessel draught, safety domain, maximum operating speed and navigation / manoeuvring characteristics.  Based on these vessel parameters, MARTRAM offers real world analysis in an efficient and safe modelling environment with the results being produced in animated formats as well as numerical output.

With the growth of LNG shipping, MARTRAM has proven to be invaluable in the environmental assessment of new shipping routes and terminals along existing heavily-trafficked estuaries.

For a brochure on Marine Risk and Navigational modelling please click here.