Unmanned Driving Systems for Smart Trains
- 1st Edition - November 13, 2020
- Imprint: Elsevier
- Author: Hui Liu
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 2 2 8 3 0 - 2
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 8 8 6 3 5 - 2
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 2 3 0 6 7 - 1
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… Read more
Purchase options
Institutional subscription on ScienceDirect
Request a sales quoteUnmanned 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
Researchers and graduate students in transportation engineering and unmanned systems and engineers in applied robot systems and rail transit
- Cover image
- Title page
- Table of Contents
- Copyright
- List of figures
- List of tables
- Preface
- Acknowledgments
- Abbreviation List
- Chapter 1. Introduction of the train unmanned driving system
- Abstract
- 1.1 Overview of the train unmanned driving system
- 1.2 The key issues of the unmanned driving system
- 1.3 The scope of the book
- References
- Chapter 2. Train unmanned driving system and its comprehensive performance evaluation system
- Abstract
- 2.1 Overview of automatic train operation/automatic train protection/automatic train supervision systems
- 2.2 The performance indices of the train unmanned driving system
- 2.3 The comprehensive performance evaluation methods of the train unmanned driving system
- References
- Chapter 3. Train unmanned driving algorithm based on reasoning and learning strategy
- Abstract
- 3.1 The current status and technical progress of train unmanned controlling algorithm
- 3.2 The connotation and composition of train unmanned driving algorithm
- 3.3 Calculation process and analysis of train unmanned driving algorithm
- 3.4 Conclusion
- References
- Chapter 4. Identification of main control parameters for train unmanned driving systems
- Abstract
- 4.1 Common methods for driving control of main control parameter identification
- 4.2 Train unmanned driving dynamic models
- 4.3 Identification methods of train intelligent traction
- 4.4 Conclusion
- References
- Chapter 5. Data mining and processing for train unmanned driving systems
- Abstract
- 5.1 Data mining and processing of manual driving modes
- 5.2 Data mining and processing of automatic driving modes
- 5.3 Data mining and processing of unmanned driving modes
- 5.4 Conclusion
- References
- Chapter 6. Energy saving optimization and control for train unmanned driving systems
- Abstract
- 6.1 Technical status of train unmanned driving energy consumption analysis
- 6.2 Single-target train energy saving and manipulation based on artificial intelligence algorithm optimization
- 6.3 Multiobjective train energy saving and control based on group artificial intelligence
- 6.4 Conclusion
- References
- Chapter 7. Unmanned driving intelligent algorithm simulation platform
- Abstract
- 7.1 Introduction of MATLAB/Simulink Simulation Platform
- 7.2 Design method of train intelligent driving algorithm simulation platform
- 7.3 Train automatic operation control model and programming
- 7.4 Train intelligent driving algorithm simulation graphical user interface design standard
- 7.5 Applications and case analysis of mainstream train unmanned driving systems
- 7.6 Conclusion
- References
- Index
- Edition: 1
- Published: November 13, 2020
- No. of pages (Paperback): 376
- No. of pages (eBook): 376
- Imprint: Elsevier
- Language: English
- Paperback ISBN: 9780128228302
- eBook ISBN: 9780323886352
- eBook ISBN: 9780128230671
HL
Hui Liu
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.
Affiliations and expertise
Professor, Director of Institute of Artificial Intelligence and Robotics (IAIR), and Vice-dean, School of Traffic and Transportation Engineering, Central South University, Changsha, ChinaRead Unmanned Driving Systems for Smart Trains on ScienceDirect