Traffic prediction is a big deal in the tech world. It's about figuring out how traffic will move in the future. A new technique is gaining attention. It uses something called graph convolutional networks, or GCNs. These networks are good at dealing with connected data, like roads and traffic. Most current models have a blind spot. They don't use all the available i...

Imagine trying to guess how busy a city street will be in an hour. It's not just about looking at past traffic data. You also need to think about things like the weather and what's happening nearby. Most methods out there only look at past traffic data for short periods. But what if we could use more info and look further into the future? Enter the MIFPN model, a sm...