Receiving Routing Approach for Virtually Coupled Train Sets at a Railway Station

Yinggui Zhang, Qianying Xu (), Runchuan Yu, Minghui Zhao and Jiachen Liu
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Yinggui Zhang: School of Traffic and Transportation Engineering, Central South University, Changsha 410017, China
Qianying Xu: School of Traffic and Transportation Engineering, Central South University, Changsha 410017, China
Runchuan Yu: Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Minghui Zhao: School of Traffic and Transportation Engineering, Central South University, Changsha 410017, China
Jiachen Liu: School of Traffic and Transportation Engineering, Central South University, Changsha 410017, China

Mathematics, 2023, vol. 11, issue 9, 1-21

Abstract: Elaborated in several forms before being formally defined, virtually coupled train sets (VCTS) have become an issue for capacity increase with obvious shorter train intervals. As the station organization strategy is still ambiguous due to the lack of literature, the receiving routing problem for VCTS is studied in particular. First, the existing concept of VCTS is explained, which refers to the virtual connection of trains through safe and reliable communication technology, allowing short-interval collaborative operations without the need for physical equipment. Subsequently, the operating characteristics and receiving requirements are analyzed. With a summary of factors affecting receiving operations, a mathematical model is proposed with the objectives of minimizing operation duration and maximizing effectiveness, which is solved by an improved genetic algorithm (GA) with an elitist and adaptive strategy. Numerical tests are carried out 250 times based on a practical station and EMU parameters. The macro results show the valid pursuit of designed objectives with an average duration of 204.95 s and an efficiency of 91.76%. Microevolution of an optimal scheme indicates that safety requirements are met while the process duration is only 35.83% of the original CTCS-3 mode.

Keywords: virtually coupled train sets (VCTS); multi-objective optimization; improved genetic algorithms (GA); receiving routing problem; train intervals; elitist and adaptive strategy (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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