Applications of Predictive Analytics in Marine Transportation

Automatic Identification System (AIS), the automated data collection system for vessel tracking, plays an essential role in marine traffic management. AIS system is generating an enormous volume of data which has rampant growth. The AIS data has the potential to drive transport activities, and signi...

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Bibliographic Details
Published in2021 International Conference on Computing, Communication and Green Engineering (CCGE) pp. 1 - 7
Main Authors Mahajan, Prasad C, Kiwelekar, Arvind W, Netak, Laxman D, Ghodake, Akshay
Format Conference Proceeding
LanguageEnglish
Published IEEE 23.09.2021
Subjects
Artificial intelligence
Automatic Identification System
Data collection
Machine Learning
Marine Transportation
Marine vehicles
Oceans
Predictive analytics
Seaports
Task analysis
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Summary:Automatic Identification System (AIS), the automated data collection system for vessel tracking, plays an essential role in marine traffic management. AIS system is generating an enormous volume of data which has rampant growth. The AIS data has the potential to drive transport activities, and significant hidden insights are possible to draw by analyzing the AIS data. Some of the tasks which can rely on the AIS data are predicting routes of vessels, predicting traffic intensity, estimating the time of arrival of a ship and transport of volume. The development of analytical techniques for AIS data would lead to the attainment of business goals such as increasing profit, optimally utilize human resources at a port and reducing traffic in the ocean. This paper reviews existing and emerging techniques used to analyze AIS data in the field of marine transportation.
DOI:10.1109/CCGE50943.2021.9776446