This Special Issue aims to foster the flexibility and reliability of autonomous vehicle (AV) decision-making in open environments with random uncertainties. It provides a platform for researchers to explore interdisciplinary approaches—integrating computer and information science, transportation science, operations research, cognitive neuroscience, and psychology—to advance human-like decision-making in AV systems. By encouraging cross-domain collaboration, this Special Issue contributes to the development of safer, smarter, and more adaptive autonomous driving technologies for real-world scenarios.
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