AI can improve public transit systems by providing data-driven insights into streamlining operations and improving service delivery. This is effective in addressing issues like congestion, scheduling inefficiencies, and high operating costs. Predictive maintenance, a data-driven approach to equipment upkeep, can be achieved through sensors on vehicles collecting real-time data on brakes, engines, and transmissions.