Understanding and Making Sense of Maritime Navigation Datasets

Abstract

Maritime transport represents the primary transportation for the global economy, almost 90% of the goods worldwide are shipped by sea, including petrol, food, cars, electronic components and other raw materials. On the other hand, maritime transport is responsible for 3% to 4% of the total human-caused carbon emissions. The current marine infrastructure has systems in place to track and monitor ships during their voyages. One of those systems is the automatic identification system (AIS). This paper aims to create a system that use AIS data to offer an improved understanding and additional insights on maritime transport. Using this naval system traffic is better understood, and with time its efficiency would be improved. The proposed system presents ship’s details, destinations and locations data based on AIS data. We can use this system to create further functionalities for better and detailed analysis on maritime transport.