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Zhongbin Luo

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Open access Aug 2026

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.

Wei Huang, Sen Luan, Zhong-Bin Luo et al. · 0 citations

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