Shulph Ink
Intelligent Cyber-Physical Systems for Autonomous Transportation
Intelligent Cyber-Physical Systems for Autonomous Transportation
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- More about Intelligent Cyber-Physical Systems for Autonomous Transportation
This book discusses the use of AI in urban transportation systems, including drones, and presents intelligent solutions to overcome challenges. It showcases AI-deployment models, algorithms, and implementations for intelligent cyber physical systems (CPS). It also provides insights into the layered architecture and programmable network operations of CPS. The authors present practical implementations, deployment scenarios, and use cases, and discuss design and research challenges, open issues, and future research directions.
Format: Paperback / softback
Length: 288 pages
Publication date: 28 April 2023
Publisher: Springer Nature Switzerland AG
This comprehensive book delves into the intricate realm of artificial intelligence (AI) integration in urban transportation systems, encompassing the utilization of drones. It presents innovative and intelligent solutions to address the challenges posed by traditional approaches in the transportation sector, transforming them into intelligent, adaptive, agile, and flexible systems. The book showcases a diverse range of AI-deployment models, algorithms, and implementations related to intelligent cyber physical systems (CPS), highlighting their advantages and drawbacks. Furthermore, it offers deep insights into CPS, particularly focusing on its layered architecture, various planes, interfaces, and programmable network operations. The deployment models for AI-based CPS are presented, aiming to foster the development of interoperable and intelligent CPS architectures by researchers in the future. The authors provide practical implementations, deployment scenarios, and use cases across various transportation contexts, enriching the reader's understanding of AI's transformative potential in the transportation industry. Finally, the book addresses design and research challenges, open issues, and future research directions, paving the way for further advancements in this rapidly evolving field.
Weight: 468g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030920562
Edition number: 1st ed. 2022
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