Unmanned Driving Systems for Smart Trains
Published on 18. November 2020
Book
Paperback/Softback
376 pages
978-0-12-822830-2 (ISBN)
Description
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.
More details
Language
English
Place of publication
United States
Target group
Professional and scholarly
Product notice
Paperback (trade)
Dimensions
Height: 228 mm
Width: 149 mm
Thickness: 20 mm
Weight
616 gr
ISBN-13
978-0-12-822830-2 (9780128228302)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
E-Book
11/2020
Elsevier
€155.00
Available for download
Person
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.
Content
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
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