Data-driven Train Dispatching Theories in a High-speed Rail System數(shù)據(jù)驅(qū)動的高速鐵路列車運行調(diào)整理論

目 錄// 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