High-speed railway timetable rescheduling method : a bi-level
integrated programming approach

Zhang, H; Jia, LM; Wang, Li; Qin, Y; An, M

Abstract

China’s railway has experienced a large-scale development in the recent years. Making up for delay time considering the energy efficiency when the train is delayed, which can satisfy the travel demand for passengers and save rail energy costs at the same time, will become the focus of future research on the railway. A bi-level programming optimization model is proposed in this paper. In the upper layer, the high-speed railway timetable is adjusted under unexpected interferences, and then the energy saving is optimized in the lower layer. A real-world case study is presented to illustrate the validity of the model and algorithm.

Citation

integrated programming approach. Presented at 3rd International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2017, Changsha, China

• Presentation Conference Type: Other
• Conference Name: 3rd International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2017
• Conference Location: Changsha, China
• Online Publication Date: Mar 30, 2018
• Publication Date: Mar 30, 2018
• Deposit Date: Mar 29, 2019
• Series Title: Lecture Notes in Electrical Engineering
• Series Number: 483
• Book Title: Proceedings of the 3rd International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2017
• ISBN: 9789811079887;-9789811079894
• DOI: https://doi.org/10.1007/978-981-10-7989-4_65
• Publisher URL: https://doi.org/10.1007/978-981-10-7989-4_65
• Related Public URLs: https://link.springer.com/book/10.1007/978-981-10-7989-4
• Additional Information: Event Type : Conference; Funders : National Key Research and Development Programme of China;Beijing Jiaotong University State Key Laboratory of Rail Traffic and Control 225 and Safety; Projects : Rail Traffic Safety;Railway Infrastructure Safety Risk Quantitative Analysis Technology; Grant Number: 2016YFB1200401; Grant Number: RCS2017K001 & RCS2016ZT016