Hui Liu

Unmanned Driving Systems for Smart Trains (eBook, ePUB)

• Format: ePub

Produktbeschreibung

Unmanned Driving Systems for Smart Trains explores the core technologies involved in unmanned driving systems for smart railways and trains, from foundational theory to the latest advances. The volume introduces the key technologies, research results and frontiers of the field. Each chapter includes practical cases to ground theory in practice. Seven chapters cover key aspects of unmanned driving systems for smart trains, including performance evaluation, algorithm-based reasoning and learning strategy, main control parameters, data mining and processing, energy saving optimization and control, and intelligent algorithm simulation platforms. This book will help researchers find solutions in developing better unmanned driving systems.

• Responds to the expansion of smart railways and the adoption of unmanned global systems
• Covers core technologies of unmanned driving systems for smart trains
• Details a large number of case studies and experimental designs for unmanned railway systems
• Adopts a multidisciplinary view where disciplines intersect at key points
• Gives both foundational theory and the latest theoretical and practical advances for unmanned railways

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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 376
• Erscheinungstermin: 13. November 2020
• Englisch
• ISBN-13: 9780323886352
• Artikelnr.: 61688326

Autorenporträt

Hui Liu is a Professor of Robotics and Artificial Intelligence, at Central South University, China, as well as a Vice Dean of the Faculty of Traffic and Transportation Engineering, and Director of the Institute of Artificial Intelligence and Robotics (IAIR). He received a Ph.D. in Automation Engineering, and his habilitation, from Rostock University in Germany. He has published more than 70 papers, and holds over 50 patents.

Inhaltsangabe

1. Introduction of train unmanned driving system
2. Train unmanned driving system and its comprehensive performance evaluation system
3. Train unmanned driving algorithm based on reasoning and learning strategy
4. Identification of main control parameters for train unmanned driving system
5. Data mining and processing for train unmanned driving system
6. Energy saving optimization and control for train unmanned driving system
7. Unmanned driving intelligent algorithm simulation platform