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Shaoquan Ni
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2020 – today
- 2024
- [j7]Jie Liu, David Canca, Hongxia Lv, Shaoquan Ni:
Demand-adapted train timetabling with coupling-decoupling operations on a bidirectional intercity railway line. Comput. Ind. Eng. 189: 109999 (2024) - [j6]Haonan Yang, Shaoquan Ni, Haoyang Huo, Yuhua Yang, Su Liu, Qingpeng Zhang, Dingjun Chen:
Variable Neighborhood Search and Alternating Direction Method of Multipliers for Integrated Optimization of Maintenance Windows and Train Timetables. IEEE Trans. Intell. Transp. Syst. 25(11): 16370-16391 (2024) - 2023
- [j5]Yuhua Yang, Marcella Samà, Dario Pacciarelli, Shaoquan Ni:
Train timetabling with passenger data and heterogeneous rolling stocks circulation on urban rail transit line. Soft Comput. 27(18): 12959-12977 (2023) - 2022
- [j4]Dingjun Chen, Xufeng Fang, Yao Li, Shaoquan Ni, Qingpeng Zhang, Chin Kwai Sang:
Three-level multimodal transportation network for cross-regional emergency resources dispatch under demand and route reliability. Reliab. Eng. Syst. Saf. 222: 108461 (2022) - [j3]Tianxiao Wang, Shaoquan Ni, Tinghui Qin, Di Cao:
TransGAT: A dynamic graph attention residual networks for traffic flow forecasting. Sustain. Comput. Informatics Syst. 36: 100779 (2022) - 2020
- [j2]Changan Xu, Sihan Li, Heying Xu, Shaoquan Ni:
Exploring passenger train occupation rate influencing factors using association rules: A case study in China. J. Intell. Fuzzy Syst. 38(5): 5753-5761 (2020)
2010 – 2019
- 2019
- [c2]Jeng-Shyang Pan, Zhenyu Meng, Shaoquan Ni, Shu-Chuan Chu:
A novel Differential Evolution approach to scheduling the freight trains in intervals of passenger trains. SMC 2019: 3777-3783 - 2018
- [j1]Juan Yu, Mi Gan, Shaoquan Ni, Dingjun Chen:
Multi-objective models and real case study for dual-channel FAP supply chain network design with fuzzy information. J. Intell. Manuf. 29(2): 389-403 (2018) - 2015
- [c1]Feng Jiang, Shaoquan Ni, Daben Yu:
Train Timetable Forming Quality Evaluation: An Approach Based on DEA Method. MCO (2) 2015: 437-448
Coauthor Index
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last updated on 2024-12-02 21:32 CET by the dblp team
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