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Shukai Li

Beijing Jiaotong University

No.3 of Shangyuan Residence Haidian District

Beijing, 100089

China

  • Beijing Jiaotong University

SCHOLARLY PAPERS

2

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173

TOTAL CITATIONS

0

Scholarly Papers (2)

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1.

Joint Optimization of Train Timetabling and Rolling Stock Circulation Planning with Flexible Train Composition for Metro Lines

Downloads 133 (558,171)

Joint Optimization of Train Timetabling and Rolling Stock Circulation Planning with Flexible Train Composition for Metro Lines

Number of pages: 34 Posted: 15 Dec 2024
Kun Ji, Yihui Wang, Andrea D'Ariano, Songwei Zhu, Miaomiao Ding and Shukai Li
Beijing Jiaotong University, Beijing Jiaotong University, Roma Tre University, Beijing Jiaotong University, Beijing Jiaotong University and Beijing Jiaotong University
Downloads 52 (1,072,374)

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train timetabling, rolling stock circulation planning, flexible train composition, Lagrangian relaxation algorithm, urban rail transit

Joint Optimization of Train Timetabling and Rolling Stock Circulation Planning with Flexible Train Composition for Metro Lines

Number of pages: 37 Posted: 04 Jul 2025
Kun Ji, Yihui Wang, Andrea D'Ariano, Songwei Zhu, Miaomiao Ding and Shukai Li
Beijing Jiaotong University, Beijing Jiaotong University, Roma Tre University, Beijing Jiaotong University, Beijing Jiaotong University and Beijing Jiaotong University
Downloads 42 (1,196,631)

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train timetabling, rolling stock circulation planning, flexible train composition, Lagrangian relaxation algorithm, metro lines

Joint Optimization of Train Timetabling and Rolling Stock Circulation Planning with Flexible Train Composition for Metro Lines

Number of pages: 34 Posted: 12 Dec 2024
Kun Ji, Yihui Wang, Andrea D'Ariano, Songwei Zhu, Miaomiao Ding and Shukai Li
Beijing Jiaotong University, Beijing Jiaotong University, Roma Tre University, Beijing Jiaotong University, Beijing Jiaotong University and Beijing Jiaotong University
Downloads 39 (1,238,337)

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train timetabling, rolling stock circulation planning, flexible train composition, Lagrangian relaxation algorithm, urban rail transit

2.

Personalized metro crew rostering: A hybrid machine learning approach to account for driver preference heterogeneity

Number of pages: 25 Posted: 17 Dec 2025
Kaiyang Chu, Shukai Li and Hai Jiang
affiliation not provided to SSRN, Beijing Jiaotong University and Tsinghua University - Department of Industrial Engineering
Downloads 40 (1,222,651)

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Heterogenous preference, Crew rostering, Mixed integer linear programming, Machine learning, Metro line