Proactive Traffic Operational Risk Assessment Using Variational Autoencoders
An innovative, data-driven Traffic Operational Risk (TOR) assessment framework that integrates unsupervised deep learning with extreme-value statistics to achieve continuous, proactive risk monitoring, providing a mathematically rigorous paradigm for precision-guided highway safety management.