- 智能列车无人驾驶系统(英文版)/一带一路铁路国际人才教育丛书
- - 作者：编者:刘辉|责编:刘颖维|总主编:田红旗//陈春阳
  - 出版社：中南大学
  - ISBN：9787548743521
  - 出版日期：2021/05/01
  - 页数：314
- 售价：32

内容大纲
《智能列车无人驾驶系统（英文版）》详细介绍智能列车无人驾驶性能评估、无人控制算法的推理和学习策略、无人系统节能优化与控制和智能算法仿真实验平台等。提供了面向智能列车无人驾驶的核心理论与典型应用案例。本书填补了国际上该领域学术著作的空白，反映了该领域的最前沿进展。
该书的出版提升了我国轨道交通与人工智能学术研究在世界的影响力。本书为中南大学交通运输学院组织编写的“一带一路”铁路国际人才教育之一，适合来华学习交通运输工程专业的学生使用，也可能同行业相关人员参考阅。
作者介绍
目录
Chapter 1 Introduction of Train Unmanned Driving System
  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
  2.1  Overview of the 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
  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  Conclusions
  References
Chapter 4 Identification of Main Control Parameters for Train Unmanned Driving System
  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  Conclusions
  References
Chapter 5 Data Mining and Processing for Train Unmanned Driving Systems
  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
  References
Chapter 6 Energy Saving Optimization and Control for Train Unmanned Driving Systems
  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  Multi—objective train energy saving and control based on group artificial intelligence
  6.4  Conclusions
  References
Chapter 7 Unmanned Driving Intelligent Algorithm Simulation Platform
  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
  References

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