Safety and Reliability of Urban Metro Systems: Using ¿Artificial ¿Intelligence

This book explores the application of artificial intelligence to improve the safety, reliability, and operational efficiency of urban metro systems. It examines how AI-driven technologies such as predictive maintenance, intelligent monitoring, automated control systems, and real-time data analytics can reduce failures, enhance passenger security, and optimize transportation performance. The book also discusses risk management, cybersecurity challenges, emergency response strategies, and sustainable smart-city integration in modern metro networks. By combining engineering principles with advanced AI methodologies, it provides valuable insights for researchers, engineers, transportation planners, and policymakers seeking innovative solutions for next-generation urban rail transit systems.

Pages: 96, Paperback, Scholars' Press