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Jing-Wen Wu

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Review Open access Aug 2026

A comprehensive review of artificial intelligence in transportation research

This review examines representative applications and key functionalities within each domain, highlighting how AI techniques—such as deep learning, graph-based models, reinforcement learning, and emerging foundation models—are adapted to diverse transportation contexts.

X. Chen, Jian-Jun Wu, Lu Zhen et al. · 0 citations

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