TP 18 Predictive risk modelling & traffic anomaly intelligence

• 123 • Shifting from reactive to proactive: Clustering Connected Vehicle near-miss data for Crash Remedial Programmes > S. Stewart FOWLER (Kent County Council) • 153 • Temporal transformer CAN encoder with federated lightweight heads for anomaly detection > K. Kyriakos CHIOTIS (Harokopio University) • 179 • Spatio-Temporal Graph Convolutional Networks in Real-Time Urban Systems: Multi-Horizon Learning, Deployment, and Residual Correction for Short-Term Traffic Prediction > V. Viktoria PETKANI (Certh - Hit) • 188 • Reducing Urban Congestion and Emissions in Istanbul through Traffic Anomaly Detection > S. Sinem ÖZTÜRK (Isbak)