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