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Beyond Automation: How AI is Building Smarter, Safer Transport Systems

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AI-based transportation systems aim to improve urbanization and sustainability, enhancing overall safety.
Traffic optimization through adaptive control systems has shown a reduction in congestion by 15-30% in pilot cities.
Autonomous vehicle systems development focuses on the integration of deep learning and multi-sensor fusion technologies.
Systemic impacts include addressing sensor reliability and the governance of data frameworks related to transportation systems.

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The review explores AI's role in enhancing traffic control and safety in transportation systems, suggesting new implementation strategies.

Ali et al. (2025) studied this question.

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The review explores AI's role in enhancing traffic control and safety in transportation systems, suggesting new implementation strategies.