Back to Search Start Over

Maritime tracking data analysis and integration with AISdb

Authors :
Gabriel Spadon
Jay Kumar
Jinkun Chen
Matthew Smith
Casey Hilliard
Sarah Vela
Romina Gehrmann
Claudio DiBacco
Stan Matwin
Ronald Pelot
Source :
SoftwareX, Vol 28, Iss , Pp 101952- (2024)
Publication Year :
2024
Publisher :
Elsevier, 2024.

Abstract

Efficiently handling Automatic Identification System (AIS) data is vital for enhancing maritime safety and navigation, yet is hindered by the system’s high volume and error-prone datasets. This paper introduces the Automatic Identification System Database (AISdb), a novel tool designed to address the challenges of processing and analyzing AIS data. AISdb is a comprehensive, open-source platform that enables the integration of AIS data with environmental datasets, thus enriching analyses of vessel movements and their environmental impacts. By facilitating AIS data collection, cleaning, and spatio-temporal querying, AISdb significantly advances AIS data research. Utilizing AIS data from various sources, AISdb demonstrates improved handling and analysis of vessel information, contributing to enhancing maritime safety, security, and environmental sustainability efforts.

Details

Language :
English
ISSN :
23527110
Volume :
28
Issue :
101952-
Database :
Directory of Open Access Journals
Journal :
SoftwareX
Publication Type :
Academic Journal
Accession number :
edsdoj.820b0928226445669e02858706cd49df
Document Type :
article
Full Text :
https://doi.org/10.1016/j.softx.2024.101952