Optimal Positioning of Emergency Preparedness Assets based on Dynamic Traffic Situation
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- Institutt for marin teknikk 
The objective of this thesis is to create a method that utilizes mathematicalmodels and tools to measure the threat posed to the environment by the merchanttraffic along the Norwegian coast. This is done so that operators at VesselTraffic Service(VTS) centers in Norway can assess dangers and allocate emergencyassets to the correct areas so that the existing assets are utilized to theirpotential. If the existing emergency assets are utilized fully, the risk ofcatastrophic accidents is minimized. The thesis looks specifically at merchant vessel positions along the Norwegiancoast at a given point in time. Using this information I calculate a criticalityvalue for different areas so that they can be prioritized according to thisvalue. The criticality takes into account the merchant vessels positions andother characteristics like its type and position relative to regionalcharacteristics such as like currents or skerries. Merchant vessels are groupedtogether in zones so that the operators can see where they need to pay closerattention or allocate emergency assets to reduce the total risk of any incidentleading to catastrophic accident. An optimization model is then developed to find the optimal position of one ormore emergency assets based on the criticality that gets used as a demand ora weight for each zone. Five potential sites for home port for the emergencyassets were selected and the optimization model found the optimal location basedon the calculated criticalities. A second formulation was created to better support the location of severalemergency assets, and this was used to find the optimal location for twoemergency assets based on the distance to all the zones and the zonescriticality. The optimal solutions were analyzed using two methods for quantifying thepreparedness. These methods takes into account the criticality of each zone andthe location of an emergency asset as well as the speed of the emergency assets.This is used to find what zones are covered by the different assets anda comparison is done between the zones and between the methods on the solutionfound by the optimization model. The analysis shows that the methods show good promise and the visualization ishelpful in determining critical areas. However, there are many opportunitiesfor improving on the methods which is discussed in the discussion and furtherwork chapters.