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September 30, 2025Applied SciencesOpen Access

Traffic Safety Measures and Assessment

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Emerging technologies improve traffic safety assessment, especially for vulnerable road users like pedestrians and cyclists.
Machine learning and computer vision are utilized to predict crash risks and evaluate surrogate safety measures effectively.
Data integration challenges must be addressed to align safety metrics with human perception in real-time scenarios.
The shift towards intelligent and equitable traffic safety systems supports better decision-making and policy development.

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This Special Issue uncovers new tools like machine learning and computer vision that enhance traffic safety, indicating a transformative shift.

Li et al. (2025) studied this question.

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This Special Issue uncovers new tools like machine learning and computer vision that enhance traffic safety, indicating a transformative shift.