Airport Layouts as Graphs: How I Built a Real-World Accurate, AI Air Traffic Control Agent

Session Track: AI Engineering

Session Time: 09:00 pm - 09:15 pm November 6

Session description

Airport layouts are complex networks of runways, taxiways, and gates, making precise navigation a critical task for air traffic controllers and pilots alike. In this session, Keanan will demonstrate how he built an AI-powered air traffic control (ATC) agent using Neo4j as a key data source. You will learn how live weather data is utilized to determine active runway configurations, and how Neo4j's graph database technology effectively models complex airport layouts as navigable graphs. Attendees will gain insights into integrating real-time data with graph databases to create realistic scenarios, providing aspiring pilots with accurate taxi instructions and a practical, authentic environment for practicing ATC communications.