Real-Time Vessel Trajectory Mapping System Based on AIS Data

Abstract

This study presents a real-time vessel trajectory mapping system based on Automatic Identification System (AIS) data. The system was developed to dynamically visualize vessel movements by utilizing data received from the AIS-POLBENG Remote Base Station. AIS data containing vessel position, speed, heading, and identity information are processed using a Python-based backend application and stored in a PostgreSQL database. In addition to the relational database, real-time AIS data are temporarily kept in an in-memory cache using Redis with a validity period of one hour. When no updates are received within the specified duration, the data are automatically removed. The cached information is then accessed by the frontend Vessel Trajectory Mapping System to display vessel positions in real time through an interactive map interface built with the Laravel Framework and Leaflet JS. The implementation results show that the system consistently visualizes vessel trajectories with an average update interval of 10 seconds across three different platforms—Web, Mobile Phone, and Tablet. This system has the potential to support maritime research, sea traffic monitoring, and enhance navigational safety in the Malacca Strait region.