Socio-economic cost savings through risk assessment of ship collisions with transport infrastructure

Reference number
Coordinator SSPA Sweden AB - SSPA Sweden AB, Göteborg
Funding from Vinnova SEK 1 500 000
Project duration December 2016 - December 2020
Status Ongoing
Venture The strategic innovation programme InfraSweden2030
Call 2016-04033-en

Purpose and goal

This project aims to develop a new risk analysis method for ship collisions against maritime infrastructure, taking into account the local conditions in the related waterways through the use of Big Data. The new risk analysis model is innovative method with its use of accident reports connected to local and global AIS data and can thereby achieve a more accurate and relevant result in the specific cases than is possible with analytical methods available today. Above all, the new method lead to a better understanding of how the vessels behaves with different types of failures.

Expected results and effects

The results of this research project is a new standardised method where Big Data is used to gain a situational and more relevant data in the planning processes of maritime infrastructure. The project intends therefore to take advantage of digitisation, in the form of AIS data. The project is needs-driven and innovative in terms of a new approach, while building on existing knowledge in areas such as Monte Carlo simulation and AIS data which has been used in other contexts.

Planned approach and implementation

This project will run as part of a doctoral project and the aim is that a licentiate degree in the field will be completed within the project period. The work will mainly be divided into five work packages: - Socio-economic investigation. - How vessels behave with failures. - Incorporation of the behavior vessels with failure in a Monte Carlo simulation. - Studies on how various risk criterion can be applied in maritime infrastructure. - Summary of the proposed method in a global and local context.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 29 April 2020

Reference number 2016-04767

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