Please use this identifier to cite or link to this item:
Title: An Intelligent Framework for Vessel Traffic Monitoring Using AIS Data
Authors: Evmides, Nicos 
Odysseos, Lambros 
Michaelides, Michalis P. 
Herodotou, Herodotos 
Major Field of Science: Engineering and Technology
Field Category: Electrical Engineering - Electronic Engineering - Information Engineering
Keywords: Estimation;Data collection;Real-time systems;Risk management;Artificial intelligence;Collision avoidance;Monitoring
Issue Date: 6-Jun-2022
Source: Proceedings of 23rd IEEE International Conference on Mobile Data Management, MDM 2022, 6 - 9 June, Paphos, Limassol, pp. 413-418
Start page: 413
End page: 418
Journal: 23rd IEEE International Conference on Mobile Data Management 
Abstract: Automatic identification system (AIS) data provides a wealth of information regarding vessel traffic and is used for a variety of applications such as collision detection and avoidance, route prediction and optimization, search and rescue operations, etc. However, several challenges exist when working with AIS data including huge volume and velocity (as AIS signals are sent by vessels every few seconds), message duplication, various types of data irregularities, as well as the need for real-time processing and analysis. This paper presents a new framework for collecting, processing, storing, and analyzing AIS data in real time plus a set of algorithms for doing so in an efficient and scalable way. At the same time, a set of intelligent services are provided as building blocks for improving and creating new AIS data driven applications. This framework has been operational for the past few years in Cyprus, and has collected and processed around one billion AIS messages from the Eastern Mediterranean Sea.
ISBN: 9781665451765
ISSN: 15516245
DOI: 10.1109/MDM55031.2022.00091
Rights: © Copyright IEEE - All rights reserved.
Type: Conference Papers
Affiliation : Cyprus University of Technology 
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

CORE Recommender
Show full item record


checked on Nov 6, 2023

Page view(s)

Last Week
Last month
checked on Dec 6, 2023

Google ScholarTM



This item is licensed under a Creative Commons License Creative Commons