Maritime Tracking Data Analysis and Integration with AISdb
Gabriel Spadon, Jay Kumar, Jinkun Chen, Matthew Smith, Casey Hilliard,, Sarah Vela, Romina Gehrmann, Claudio DiBacco, Stan Matwin, Ronald Pelot

TL;DR
This paper presents AISdb, an open-source platform that improves the processing, integration, and analysis of AIS maritime data, supporting safety, security, and environmental research.
Contribution
Introduction of AISdb, a comprehensive tool for AIS data collection, cleaning, and integration with environmental datasets, enhancing maritime data analysis capabilities.
Findings
AISdb enables efficient AIS data handling and analysis.
AISdb improves vessel movement tracking and environmental impact assessment.
AISdb supports maritime safety and sustainability research.
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.
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Taxonomy
TopicsMaritime Navigation and Safety
