Research data underlying the PhD thesis "Distributed and Learning-based Model Predictive Control for Urban Rail Transit Networks"

This data is related to the PhD thesis titled 'Distributed and Learning-based Model Predictive Control for Urban Rail Transit Networks.' The thesis is a collection of five papers, each corresponding to one chapter, i.e., chapters 2 to 6. The relevant data are packed according to different chapters. In Chapters 2, 3, and 4, the passenger origin-destination data and the line information data are used, which is generated based on the entering and existing data of stations. Chapter 5 uses sectional passenger passenger flow data between two consecutive stations of the provided lines and the line information data. In Chapter 6, the line information data and train operation data are used for the train speed control problem.

本数据集关联于题为《面向城市轨道交通网络的分布式学习型模型预测控制（Distributed and Learning-based Model Predictive Control）》的博士学位论文。该论文由5篇学术论文组成，分别对应第2至第6章。相关数据按不同章节进行分类打包。其中，第2、3、4章采用基于车站进站及既有运营数据生成的乘客起讫点（origin-destination, OD）数据与线路信息数据；第5章采用所提供线路的相邻两站间区间客流数据及线路信息数据；第6章则将线路信息数据与列车运行数据应用于列车速度控制问题的研究。