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Optimization Study of Flexible Train Composition and Full-Length and Short-Turn Routings Based on NSGA-II
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Jiale FU1, Jing WEN1, Jikang XU1, Yating FU2, Yanli ZHOU2, Yuhao SHI3
Urban Rapid Rail Transit | 2025, 38(1) : 44 - 52
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Urban Rapid Rail Transit | 2025, 38(1): 44-52
Forum of Rapid Rail Transit
Optimization Study of Flexible Train Composition and Full-Length and Short-Turn Routings Based on NSGA-II
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Jiale FU1, Jing WEN1, Jikang XU1, Yating FU2, Yanli ZHOU2, Yuhao SHI3
Affiliations
  • 1 School of Urban Railway Transportation Shanghai University of Engineering Science Shanghai 201620
  • 2 East China Jiaotong University Nanchang 330013
  • 3 Shanghai Tunnel Engineering & Rail Transit Design and Research Institute Shanghai 200070
doi: 10.3969/j.issn.1672-6073.2025.01.006
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In response to the diversified and uneven demand for passenger travel, with the goal of improving service levels, this study proposes an operational mode for urban rail transit, which involves online flexible train composition and fulllength and shortturn routings, and integrates NSGAII algorithm to optimize the operational scheme. Firstly, the study analyzes the turnaround scenarios of trains under flexible composition conditions and determines the relationship between turnaround time and departure intervals. Secondly, using passenger travel costs and train operating kilometers as objective functions, a mathematical model for the operational mode of urban rail transit with online flexible train composition and fulllength and shortturn routings is designed based on the NSGAII algorithm. Finally, a case study is conducted to verify the feasibility and effectiveness of the algorithm for a specific rail transit line. The results show that compared to single routing, fulllength and shortturn routings, and mixed operation modes with multiple compositions, the proposed operational mode reduces vehicle operating kilometers by 42.68%, 22.81%, and 15.98% respectively, reduces vehicle utilization by 35%, 23.53%, and 16.13% respectively, and reduces the maximum load factor from 161.71%, 123.54%, and 135.49% to 119.68%. This operational mode effectively reduces vehicle operating kilometers and utilization while ensuring service levels and improving the balance of line load factor, thereby bringing greater benefits and improvements to urban rail transit systems.

urban rail transit  /  flexible train composition  /  full-length and short-turn routing  /  train operation plan  /  NSGA- II
Jiale FU, Jing WEN, Jikang XU, Yating FU, Yanli ZHOU, Yuhao SHI. Optimization Study of Flexible Train Composition and Full-Length and Short-Turn Routings Based on NSGA-II[J]. Urban Rapid Rail Transit, 2025 , 38 (1) : 44 -52 . DOI: 10.3969/j.issn.1672-6073.2025.01.006
Year 2025 volume 38 Issue 1
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Article Info
doi: 10.3969/j.issn.1672-6073.2025.01.006
  • Receive Date:2024-04-13
  • Online Date:2025-07-09
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  • Received:2024-04-13
  • Revised:2024-09-26
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    1 School of Urban Railway Transportation Shanghai University of Engineering Science Shanghai 201620
    2 East China Jiaotong University Nanchang 330013
    3 Shanghai Tunnel Engineering & Rail Transit Design and Research Institute Shanghai 200070
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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