In urban mobility, AI-driven systems are used to reduce congestion, optimize traffic flows, and support multimodal transport ...
A comprehensive framework integrates statistical modeling, machine learning, and simulation to optimize urban traffic forecasting, capacity evaluation, and safety design. By combining predictive ...
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