Transport & Mobility Leuven (Belgium)

Network-wide fine-grained passenger loading prediction via dynamic relational spatiotemporal deep graph neural networks

Accurate short-term prediction of onboard passenger loading is essential for enhancing public transport efficiency, passenger comfort, and operational resilience. However, existing models are mainly restricted to station-based passenger flow prediction, and they often struggle wi...