| 作 者： | 李忠灿 |
| 出版社： | 西南交通大学出版社 |
| 丛编项： | |
| 版权说明： | 本书为公共版权或经版权方授权，请支持正版图书 |
| 标 签： | 暂缺 |
| ISBN | 出版时间 | 包装 | 开本 | 页数 | 字数 |
|---|---|---|---|---|---|
| 未知 | 暂无 | 暂无 | 未知 | 0 | 暂无 |
目 录// CONTENTS
Chapter 1 Train dispatching management with data-driven approaches:
A comprehensive review and appraisal 1
1.1 Introduction 1
1.2 Data-driven train dispatching 4
1.3 Data-driven models in train dispatching: Literature 10
1.4 Review results and further discussions 32
1.5 Conclusions 38
Chapter 2 Data-driven delay distributions of HSR trains 40
2.1 Statistical Investigation on Train Primary Delay based on Real Records:
Evidence from Wuhan-Guangzhou HSR 40
2.2 Statistical Delay Distribution Analysis on High- Speed Railway Trains 59
2.3 Temporal and SpatialDistributions of Primary Delays in a High-Speed
Rail System 69
Chapter 3 Data-driven delay propagation mechanism on horizontal 83
3.1 Cause-specific Investigation of Primary Delays of Wuhan-Guangzhou HSR 83
3.2 Modellingof Effects of Primary Delays Using High- speed Train
Operation Records 106
3.3 Modelling the influence of disturbances for real-time train dispatching 120
Chapter 4 Data-driven delay propagation mechanism on vertical 135
4.1 A hybrid model to improve the train running time prediction ability
during high-speed railway disruptions 135
4.2 A Spatiotemporal Deep Learning Framework for Train Delay Prediction
in High-speed Railway Systems 150
Chapter 5 Confliction management of HSR 166
5.1 Modelling high-speed trains using triangular fuzzy number workflow nets 166
5.2 Predicting high-speed train operation conflicts using workflow nets and
triangular fuzzy numbers 177
Chapter 6 Delay recovery and Supplement time allocation 195
6.1 Forecasting Primary Delay Recovery of High-Speed Railway Using
Data-driven Methods 195
6.2 A data-driven time supplements allocation model for train operations
on high-speed railways 211
References 228
