Digital interconnectivity as a driver for port and logistics competitiveness

Creating an innovative tool that takes advantage of digital interconnectivity between shipping agencies and husbandry services suppliers was the starting point. But the main purpose of this paper is to figure out if that represents a business opportunity. It describes the preliminary stages undertaken, as the connections with the main potential providers of the husbandry services. This was carried out as a qualitative research, based on interviews given by shipping agencies that contributed as a source of data about their activities but also to survey their acceptance of the concept that could change the way of doing business in this area.At the same time, inquiries have been made to build financial scenarios that show the costs and revenue streams allocated to this project. Considering the data collected from the main players in husbandry services and the different outcomes, the feasibility of this project is assessed. Even though the paradigm was well received by all the firms contacted, the development costs turn out to be the main threat to the project so further steps are advised.

Genetic algorithm for shipping route estimation with long-range tracking data : automatic reconstruction of shipping routes based on the historical ship positions for maritime safety applications

Ship tracking systems allow Maritime Organizations that are concerned with the Safety at Sea to obtain information on the current location and route of merchant vessels. Thanks to Space technology in recent years the geographical coverage of the ship tracking platforms has increased significantly, from radar based near-shore traffic monitoring towards a worldwide picture of the maritime traffic situation. The long-range tracking systems currently in operations allow the storage of ship position data over many years: a valuable source of knowledge about the shipping routes between different ocean regions. The outcome of this Master project is a software prototype for the estimation of the most operated shipping route between any two geographical locations. The analysis is based on the historical ship positions acquired with long-range tracking systems. The proposed approach makes use of a Genetic Algorithm applied on a training set of relevant ship positions extracted from the long-term storage tracking database of the European Maritime Safety Agency (EMSA). The analysis of some representative shipping routes is presented and the quality of the results and their operational applications are assessed by a Maritime Safety expert.