Big Data in the Maritime Industry

Mario Miličević,Maris Mirović,Ines Obradović

doi:10.17818/nm/2018/1.8

Abstract

The maritime industry is a complex system that requires quick adaptation to changing conditions and in which decision-making needs to take into account a large number of parameters. As navigation systems become more advanced, there is a significant amount of ship performance and navigation data generated. Big Data analytics tools make it possible to analyze these large quantities of data in order to gain insight that supports decision-making. This paper gives an overview of applications of Big Data in the maritime industry, specifically in logistics optimization, safety and energy efficiency improvement, as well as the challenges that systems involving Big Data face.

Highlights

Big data analytics tools are efficient in storing the data and processing them in real time in order to monitor traffic and make predictions that improve service quality and companies’ revenues [3]
Sensor data, which include environmental and ship system information, are streamed from a ship to shore where they are analyzed through a Big Data analytics platform
On the other hand, [1] shows how Big Data can be used to gain a better understanding of maritime activities, which is especially useful in remote areas such as the Arctic where shipping activity needs to be monitored to ensure sustainability and the information is otherwise difficult to access

Summary

Introduction

Maritime industry big data logistic optimization energy efficiency safety Big data analytics tools are efficient in storing the data and processing them in real time in order to monitor traffic and make predictions that improve service quality and companies’ revenues [3]. Data generated by traffic sensors can be used to identify issues in real time, which means that road users can make informed decisions to save time while road authorities may control traffic and intervene quickly when needed [18], [30].

Results

Conclusion