About this document
AI-Driven Public Transport Optimization by jeremyobadya is a document available to read on EtoBox.
This research article examines the use of artificial intelligence (AI) to optimize public transport services in metropolitan areas to alleviate congestion. Key applications of AI include real-time monitoring for traffic prediction, demand forecasting for service adjustments, route optimization based on various factors, and smart ticketing solutions. The study concludes that implementing AI can significantly enhance the efficiency and reliability of public transport systems, ultimately improving urban mobili
- Author
- jeremyobadya
- Language
- EN