Papers
1–4 of 4VisiFold: Long-Term Traffic Forecasting via Temporal Folding Graph and Node Visibility
Traffic forecasting is a cornerstone of intelligent transportation systems. While existing research has made significant progress in short-term prediction, long-term forecasting remains a largely unch...
Spatial PDE-aware Selective State-space with Nested Memory for Mobile Traffic Grid Forecasting
Traffic forecasting in cellular networks is a challenging spatiotemporal prediction problem due to strong temporal dependencies, spatial heterogeneity across cells, and the need for scalability to lar...
Long-Horizon Traffic Forecasting via Incident-Aware Conformal Spatio-Temporal Transformers
Reliable multi-horizon traffic forecasting is challenging because network conditions are stochastic, incident disruptions are intermittent, and effective spatial dependencies vary across time-of-day p...
Geographically-aware Transformer-based Traffic Forecasting for Urban Motorway Digital Twins
The operational effectiveness of digital-twin technology in motorway traffic management depends on the availability of a continuous flow of high-resolution real-time traffic data. To function as a pro...