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 ...

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 ...

The relentless growth of the Internet of Things has transformed ordinary environments into vast webs of interconnected ...