Machine Learning in Transportation

Subset of AI that enables systems to learn from historical transportation data and improve performance without explicit programming. Applications include lane pricing optimization, detention time prediction, and identifying fraud patterns in carrier onboarding.

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Machine Learning in Transportation Definition