An Automatic Train Operation Based Real-Time Rescheduling Model for High-Speed Railway
With the continuous development of the Automatic Train Operation (ATO) system in high-speed railways, automatic driving is progressively supplanting manual operations, ushering in a new era of predictability and reliability for high-speed railway transport. Concurrently, the advent of the ATO system...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-11-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/11/21/4546 |
| _version_ | 1797631570083840000 |
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| author | Fan Liu Jing Xun |
| author_facet | Fan Liu Jing Xun |
| author_sort | Fan Liu |
| collection | DOAJ |
| description | With the continuous development of the Automatic Train Operation (ATO) system in high-speed railways, automatic driving is progressively supplanting manual operations, ushering in a new era of predictability and reliability for high-speed railway transport. Concurrently, the advent of the ATO system provides a notable impact on real-time rescheduling during disruptions, as it equips dispatchers with precise insights into train operation statuses. This paper is dedicated to a thorough analysis of how the transition to automatic driving in train operations influences the real-time rescheduling model. Based on the distinctive impact of the ATO system on real-time rescheduling, we have proposed a mixed-integer linear programming model that combines train re-timing, reordering, and the minimization of passenger delays. To validate the effectiveness of our model, we present several experiments conducted using data from the Beijing–Shanghai high-speed railway line. The results unequivocally demonstrate that our ATO-based model significantly mitigates train delay time, demonstrating its practical value in optimizing high-speed railway operations. |
| first_indexed | 2024-03-11T11:25:25Z |
| format | Article |
| id | doaj.art-7bd73474978244a083c3e0cbb96a68b5 |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-11T11:25:25Z |
| publishDate | 2023-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-7bd73474978244a083c3e0cbb96a68b52023-11-10T15:08:15ZengMDPI AGMathematics2227-73902023-11-011121454610.3390/math11214546An Automatic Train Operation Based Real-Time Rescheduling Model for High-Speed RailwayFan Liu0Jing Xun1School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, ChinaWith the continuous development of the Automatic Train Operation (ATO) system in high-speed railways, automatic driving is progressively supplanting manual operations, ushering in a new era of predictability and reliability for high-speed railway transport. Concurrently, the advent of the ATO system provides a notable impact on real-time rescheduling during disruptions, as it equips dispatchers with precise insights into train operation statuses. This paper is dedicated to a thorough analysis of how the transition to automatic driving in train operations influences the real-time rescheduling model. Based on the distinctive impact of the ATO system on real-time rescheduling, we have proposed a mixed-integer linear programming model that combines train re-timing, reordering, and the minimization of passenger delays. To validate the effectiveness of our model, we present several experiments conducted using data from the Beijing–Shanghai high-speed railway line. The results unequivocally demonstrate that our ATO-based model significantly mitigates train delay time, demonstrating its practical value in optimizing high-speed railway operations.https://www.mdpi.com/2227-7390/11/21/4546high-speed railwayreal-time reschedulingmixed-integer programmingautomatic train operation |
| spellingShingle | Fan Liu Jing Xun An Automatic Train Operation Based Real-Time Rescheduling Model for High-Speed Railway Mathematics high-speed railway real-time rescheduling mixed-integer programming automatic train operation |
| title | An Automatic Train Operation Based Real-Time Rescheduling Model for High-Speed Railway |
| title_full | An Automatic Train Operation Based Real-Time Rescheduling Model for High-Speed Railway |
| title_fullStr | An Automatic Train Operation Based Real-Time Rescheduling Model for High-Speed Railway |
| title_full_unstemmed | An Automatic Train Operation Based Real-Time Rescheduling Model for High-Speed Railway |
| title_short | An Automatic Train Operation Based Real-Time Rescheduling Model for High-Speed Railway |
| title_sort | automatic train operation based real time rescheduling model for high speed railway |
| topic | high-speed railway real-time rescheduling mixed-integer programming automatic train operation |
| url | https://www.mdpi.com/2227-7390/11/21/4546 |
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