An Integrated Deep Ensemble and Causal Learning Framework for Behavior-Aware Freeway Safety Assessment Using Multi-Source Data

Research focus

Investigates multi-source freeway safety assessment through deep ensembles and causal learning.

The work addresses the connection between predictive evidence and behavior-aware safety assessment, combining deep ensemble modeling with causal learning from multiple data sources.

Submitted manuscript. Findings have not been represented here as accepted, peer-reviewed results.