《智慧型列車無人駕駛系統》是2021年中南大學出版社出版的圖書。
基本介紹
- 中文名：智慧型列車無人駕駛系統
- 作者：劉輝
- 類別：圖書>工業技術>汽車與交通運輸>鐵路運輸
- 出版社：中南大學出版社
- 出版時間：2021年5月
- 開本：16 開
- 裝幀：平裝-膠訂
- ISBN：9787548743521
內容簡介,圖書目錄,
內容簡介
內容摘要：
智慧型列車無人駕駛系統首次以書籍的形式呈現了智慧型鐵路和列車無人駕駛系統涉及的核心技術，從基礎理論到進展。本書作為該領域的參考書，介紹了該領域的關鍵技術、研究成果和前沿動態。每一章都包含了一些實際案例，以支撐理論在實踐中的套用。七個章節涵蓋了智慧型列車無人駕駛系統的關鍵方面，包括性能評估、基於算法的推理與學習策略、主要控制參數、數據挖掘與處理、節能最佳化與控制、智慧型算法仿真平台。這本書將幫助研究人員在開發更好的無人駕駛系統中找到解決方案。
主要特點：
- 應對智慧型鐵路的全球推廣和無人系統的工程套用。
- 涵蓋智慧型列車無人駕駛系統的核心技術。
- 包括許多列車無人系統的案例研究和實驗設計。
- 採用學科交叉的多學科視角開展分析。
- 涵蓋無人駕駛列車的基礎理論、前沿研究和實踐進展。
本書可作為交通運輸工程、無人駕駛領域的研究生教材，也能為相關領域的研究人員和工程師提供重要參考。
圖書目錄
Contents
Chapter 1 Introduction of Train Unmanned Driving System 1
1.1 Overview of the train unmanned driving system 1
1.2 The key issues of the unmanned driving system 20
1.3 The scope of the book33
References 36
Chapter 2 Train Unmanned Driving System and Its Comprehensive Performance Evaluation
System 44
2.1 Overview of the automatic train operation/automatic train protection/automatic train supervision systems 44
2.2 The performance indices of the train unmanned driving system 72
2.3 The comprehensive performance evaluation methods of the train unmanned driving system 80
References 88
Chapter 3 Train Unmanned Driving Algorithm Based on Reasoning and Learning Strategy 93
3.1 The current status and technical progress of train unmanned controlling algorithm 93
3.2 The connotation and composition of train unmanned driving algorithm 97
3.3 Calculation process and analysis of train unmanned driving algorithm 108
3.4 Conclusions129
References 130
Chapter 4 Identification of Main Control Parameters for Train Unmanned Driving System 140
4.1 Common methods for driving control of main control parameter identification 140
4.2 Train unmanned driving dynamic models 154
4.3 Identification methods of train intelligent traction 161
4.4 Conclusions184
References 185
Chapter 5 Data Mining and Processing for Train Unmanned Driving Systems 192
5.1 Data mining and processing of manual driving modes 192
5.2 Data mining and processing of automatic driving modes 207
5.3 Data mining and processing of unmanned driving modes 212
References 226
Chapter 6 Energy Saving Optimization and Control for Train Unmanned Driving Systems 230
6.1 echnical status of train unmanned driving energy consumption analysis 230
6.2 Singletarget train energy saving and manipulation based on artificial intelligence algorithm optimization 246
6.3 Multiobjective train energy saving and control based on group artificial intelligence 256
6.4 Conclusions 264
References 265
Chapter 7 Unmanned Driving Intelligent Algorithm Simulation Platform 270
7.1 Introduction of MATLAB/Simulink simulation platform 270
7.2 Design method of train intelligent driving algorithm simulation platform 277
7.3 Train automatic operation control model and programming 282
7.4 Train intelligent driving algorithm simulation graphical user interface design standard 286
7.5 Applications and case analysis of mainstream train unmanned driving systems 291
References 306
