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

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Bol 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.

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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.

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Pagina's: 96, Paperback, Scholars' Press


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Merk Scholars' Press
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  • 9786209381874
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