2 papers
cs.LG2026
Long-Horizon Traffic Forecasting via Incident-Aware Conformal Spatio-Temporal Transformers
Mayur Patil, Qadeer Ahmed, Shawn Midlam-Mohler +4
Reliable multi-horizon traffic forecasting is challenging because network conditions are stochastic, incident disruptions are intermittent, and effective spatial dependencies vary…
cs.LG2024
Urban Traffic Forecasting with Integrated Travel Time and Data Availability in a Conformal Graph Neural Network Framework
Mayur Patil, Qadeer Ahmed, Shawn Midlam-Mohler
Traffic flow prediction is a big challenge for transportation authorities as it helps plan and develop better infrastructure. State-of-the-art models often struggle to consider the…