Li-Zan Wan

Freeway Traffic Incident Duration Prediction via Multi-Source Semantic Fusion and a Mixture-of-Experts

Most incident duration models emit only a point estimate and are evaluated on archives whose recorded durations partly reflect logging conventions. We propose a mixture-of-experts (MoE) model that fuses structured attributes, incident-text semantics, and environmental context, restricted to inputs available at the firs...