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Maritime Risk Analysis (IWRAP Mk2)

Rapid execution of high-quality risk analysis. IWRAP Mk2 is a unique set of features designed specifically for maritime risk assessment. It is developed by GateHouse Maritime in close cooperation with IALA. Using the risk analysis tool, you can estimate the frequency of collisions and groundings in a given waterway. The tool enables you to efficiently evaluate and estimate risks based on historical AIS data.

AIS Import Add-On: Easy import of data

The AIS Import Add-On tool enables easy and time-reducing import of AIS data. AIS data can be imported from one or more text files. Data is automatically sorted according to time, and the tool handles a variety of different formats, e.g. different time formats, position formats, etc.

Lloyds Data Import

Lloyds data can be imported to identify the specific ship type in the imported AIS data. The tool can be used without Lloyds data, but using Lloyds data increases the accuracy.

Add value to your maritime analysis

Maritime Risk Analysis (IWRAP Mk2) is a strong tool that adds value to your maritime analysis. All that is required to get started is an AIS data stream, and the AIS Import Add-On lets you include any amount of AIS data instantly, and then starts analyzing immediately.

big ship sailing into the horizon

Technical Description

IWRAP Mk2 examples of use:

  • Predict traffic patterns around offshore sites
  • Estimate CO2 emissions
  • Groundings in a defined area
  • Estimate how changes in sailing routes affect maritime safety
  • Estimating the frequency of collisions along a sailing route
  • Predictions of environmental impact by collisions
  • Evaluating the risk reduction effect of Aids to Navigation

Want to know more about Maritime Risk Analysis (IWRAP Mk2)?

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Proactive Risk Management

Proactive risk management is vital for ensuring safety as well as efficiency in the maritime domain. There is a global focus on optimizing in the transportation sector to avoid unnecessary pollution, and this feature set also allows you to efficiently perform data-based estimations to the benefit of the environment. This can be achieved by estimations of effect and subsequent changing of routes, speed limits or other relevant regulation of certain areas.