Intelligent cyber-physical systems for autonomous transportation
著者
書誌事項
Intelligent cyber-physical systems for autonomous transportation
（Internet of things : technology, communications and computing / series editors, Giancarlo Fortino, Antonio Liotta）
Springer, 2022
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注記
Other editors: Gagangeet Singh Aujla, Kuljeet Kaur, Syed Hassan Ahmed Shah
Includes bibliographical references and index
内容説明・目次
内容説明
This book provides comprehensive discussion on key topics related to the usage and deployment of AI in urban transportation systems including drones. The book presents intelligent solutions to overcome the challenges of static approaches in the transportation sector to make them intelligent, adaptive, agile, and flexible. The book showcases different AI-deployment models, algorithms, and implementations related to intelligent cyber physical systems (CPS) along with their pros and cons. Even more, this book provides deep insights into the CPS specifically about the layered architecture and different planes, interfaces, and programmable network operations. The deployment models for AI-based CPS are also included with an aim towards the design of interoperable and intelligent CPS architectures by researchers in future. The authors present hands on practical implementations, deployment scenarios, and use cases related to different transportation scenarios. In the end, the design and research challenges, open issues, and future research directions are provided.
目次
Part I Overview of Transportation Systems1) Transportation Systems2) Future Autonomous Transportation - Challenges and Prospective dimensionsPart II Artificial Intelligence3) Artificial Intelligence4) Artificial Intelligence: Evolution, Benefits and Challenges5) Artificial Intelligence - Need, Evolution and Applications for Transportation Systems6) Artificial Intelligence Deployment in Transportation SystemsPart III Cyber-Physical Systems7) Cyber-Physical Systems: Historical Evolution and Role in Future Autonomous Transportation8) Cyber Physical Systems in TransportationPart IV Application Use Cases of Autonomous Transportation Systems9) "Correlation between Traffic Lights and Emergency Vehicles in Intelligent Transportation System"10) Use Case for Underwater Transportation11) Advanced Signal Processing for Autonomous Transportation Big Data12) Deep neural network based prediction of high-speed train induced subway track vibration13) Advanced Complex Data Analysis of Autonomous Transportation for Smart City Industrial Environment14) A Meta Sensor Based Autonomous Vehicle Safety System for Collision Avoidance using Li-Fi TechnologyPart V Security Perspective in Intelligent Transportation Systems15) Secure Information Transmission in Intelligent Transportation Systems using Blockchain Technique16) "Privacy-preserved Mobile Crowdsensing for Intelligent Transportation Systems"
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