This article is this edition's winner of the ASU Writing Competition. The competition is open quarterly to current ASU ...

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

Traffic flow prediction assumes a pivotal role in aiding governments and companies accurately forecast changes in vehicle volume, consequently enhancing transportation efficiency and facilitating ...

Most current traffic flow prediction approaches use machine learning or simple deep learning models, necessitating centralized data storage. Moreover, the simplistic structure of deep learning models ...