A systematic review of 237 studies from 2014 to 2024 maps how explainable AI techniques such as SHAP and LIME are making ...
For decades, keeping American airspace safe and moving has depended entirely on human judgment. That is now quietly changing, ...
A new AI system could help cities predict where traffic congestion will form, giving planners a chance to respond before problems get worse.
The FAA has begun using AI in Washington-area airspace to predict congestion and help managers adjust routes and departure ...
Air traffic controllers face one of the most demanding cognitive workloads of any profession: tracking dozens of aircraft ...
Getting an early warning about a traffic jam could help commuters avoid delays and give transport teams time to respond before queues spread across a city. A systematic review published in ...
An AI tool is set to start advising air traffic controllers on managing air traffic in the congested airspace above the Washington, DC, area. The expected launch would be the first step toward a ...
The key challenge in traffic flow prediction lies in modeling complex spatio-temporal dependencies effectively. While graph neural networks have shown promise, existing methods face two critical ...
Reliable and accurate trajectory prediction is critical for the safe and efficient operation of unmanned aerial vehicles (UAVs) in complex urban environments, where flight dynamics are subject to wind ...