AI is becoming a bigger part of transit operations, but successful adoption starts with solving real service challenges, not chasing trends. This guide explores how agencies are using AI to improve scheduling, dispatch, customer support, and rider communications while keeping accessibility, trust, and human oversight at the center.
Through practical insights and real-world examples, you’ll see where AI creates meaningful operational value, what mistakes agencies should avoid, and how leading transit teams are approaching adoption in a way that improves service for both riders and staff.
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