The objective with the project is to develop a marine traffic model for devising and evaluating interventions that improve marine traffic performance–its energy efficiency, transportation times and costs, environmental impact, resilience, and safety. Such model must account for the differences between the sailing vessels; otherwise, it would render unrealistic traffic simulations. Also, the model must be able to predict the traffic flows in new situations where there is no relevant historical traffic data. To fulfill both requirements we plan to build profiles of individual vessels through machine-learning techniques and to simulate the vessel movements in new scenarios through multi-agent based simulations.
Post Doc: to be advertised, will be recruited during 2015 with a preliminary start April/May.