Boosting Efficiency in Public Transit Systems through AI Integration
Public transit systems are vital to urban mobility, yet they often face challenges such as congestion, scheduling inefficiencies, and high operating costs. Integrating AI into public transportation can help address these issues, providing data-driven insights, streamlining operations, and improving service delivery. One of the primary ways AI enhances transit efficiency is through predictive maintenance, a data-driven approach to equipment upkeep. With AI-powered predictive maintenance, sensors installed on vehicles collect real-time data on components like brakes, engines, and transmissions.