Research on the Integrated Optimization of Timetable and High-Speed Train Routing Considering the Coordination Between Weekdays and Holidays

In recent years, passenger holiday travel momentum continues to increase, which proposes a challenge to the refined transportation organization of China’s high-speed railway. In order to save the cost of transportation organization, this paper proposes a collaborative optimization method using a high-speed railway train diagram and Electric Multiple Unit (EMU) routing considering the coordination of weekdays and holidays. Based on the characteristics of the train diagram and EMU routing, this method optimizes the EMU routing synchronously when compiling the train diagram. By constructing a space–time–state network, considering the constraints of train headway, operation conflict, and EMU maintenance, a collaborative optimization model of the train diagram and EMU routing considering the coordination of weekdays and holidays is established. This research combines the actual operation data to verify the model and algorithm. Based on five consecutive days of holidays, a seven-day transportation plan covering before and after the holidays and during the holidays is designed, and a case study is carried out. The results show that the proposed collaborative optimization theory has practical significance in the application scenarios of high-speed railway holidays.

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Publication Details

Journal
Mathematics
Published
2024-11-29
DOI
https://doi.org/10.3390/math12233776
Citations
2
Primary Topic
Railway Systems and Energy Efficiency
Type
article
Field-Weighted Citation Impact
0.70
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article

Research on the Integrated Optimization of Timetable and High-Speed Train Routing Considering the Coordination Between Weekdays and Holidays

Junhua Chen, Zhiwen Zhang, Fengqian Guo, Wenjia Deng
2 citations
Mathematics
Railway Systems and Energy Efficiency
0.70
article

Research on the Integrated Optimization of Timetable and High-Speed Train Routing Considering the Coordination Between Weekdays and Holidays

Junhua Chen, Zhiwen Zhang, Fengqian Guo, Wenjia Deng
article en
2 citations

Abstract

In recent years, passenger holiday travel momentum continues to increase, which proposes a challenge to the refined transportation organization of China’s high-speed railway. In order to save the cost of transportation organization, this paper proposes a collaborative optimization method using a high-speed railway train diagram and Electric Multiple Unit (EMU) routing considering the coordination of weekdays and holidays. Based on the characteristics of the train diagram and EMU routing, this method optimizes the EMU routing synchronously when compiling the train diagram. By constructing a space–time–state network, considering the constraints of train headway, operation conflict, and EMU maintenance, a collaborative optimization model of the train diagram and EMU routing considering the coordination of weekdays and holidays is established. This research combines the actual operation data to verify the model and algorithm. Based on five consecutive days of holidays, a seven-day transportation plan covering before and after the holidays and during the holidays is designed, and a case study is carried out. The results show that the proposed collaborative optimization theory has practical significance in the application scenarios of high-speed railway holidays.

MathematicsVol. 12(23)
Beijing Jiaotong University (CN), Southeast University (CN)
Openalex Percentile: Top 24%
Railway Systems and Energy Efficiency
0.70
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Research on the Integrated Optimization of Timetable and High-Speed Train Routing Considering the Coordination Between Weekdays and Holidays — Junhua Chen, Zhiwen Zhang, et al. · Mathematics (2024) | TGRS Research Map | TGRS