个人简介
李忠灿，男，四川南充人，西南交通大学交通运输与物流学院教师，助理教授，硕士生导师。2016、2019、2023于西南交通大学分别获得学士、硕士和博士学位，博士期间前往丹麦技术大学联合培养。2023年6月博士毕业后前往清华大学自动化系从事博士后工作，2025年7月回交大任教。

研究方向主要为大数据与人工智能技术驱动的高速铁路晚点调度、轨道交通运输组织优化、编组站智能运输组织、多式联运下枢纽内运输组织优化等。

在TRC、TRE、ESWA、ASOC、IJRT、RES、铁道学报等国内外顶级期刊上发表论文20余篇。主持纵向项目3项，包括国家自然科学基金青年项目1项、博士后面上项目1项、四川省青年基金B类项目1项。参与项目近10项，其中包括科技部重点研发计划、高铁联合基金、国家自然科学基金面上项目、四川省科技厅青年基金项目等。

谷歌学术主页：https://scholar.google.com/citations?user=LcIvgSYAAAAJ&hl=zh-CN 

ResearchGate主页：https://www.researchgate.net/profile/Zhongcan-Li 

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论文发表

1.Li Z, Huang P, Wen C, et al. Prediction of train arrival delays considering route conflicts at multi-line stations[J]. Transportation Research Part C: Emerging Technologies, 2022, 138: 103606. (中科院1区Top)

 2.Li Z, Huang P, Wen C, et al. Initial Departure Delay Predictions Using Deep Learning Approaches: A Combination of Route Conflicts and Rolling Stock Connections [J]. 2023: 120500. Expert Systems with Applications. (中科院1区Top)

3.Li Z, Huang P, Wen C, et al. Railway network delay evolution: A heterogeneous graph neural network approach[J]. Applied Soft Computing, 2024, 159: 111640. (中科院1区Top)

 4.Li Z, Wei D, Yindong J, et al. Integrating graph and neural relational inference for network-wide train delay prediction: An equilibrium between accuracy and interpretability [J]. Transportation Research Part C: Emerging Technologies (中科院1区Top)

5.Li Z, Wen C, Hu R, et al. Near-term train delay prediction in the Dutch railways network[J]. International Journal of Rail Transportation, 2021, 9(6): 520-539. (中科院2区)

6.Li Z, Huang P, Wen C, et al. Predictive models for influence of primary delays using high‐speed train operation records[J]. Journal of Forecasting, 2020, 39(8): 1198-1212. (中科院3区)

7.Huang P, Li Z*, Yongqiu Z, et al. Train traffic control in merging stations: a data-driven approach [J]. Transportation Research Part C: Emerging Technologies, 2023, 152: 104155 (中科院1区top，通讯作者)

8. Huang, P., D’Ariano, A., Yang, Y., Lu, G., Li, Z*., & Corman, F. (2026). Robust train timetabling based on realized operations: a data-driven prediction-optimization framework. Transportation Research Part E: Logistics and Transportation Review, 213, 104923. (中科院1区top，通讯作者)

9.Huang P, Peng Z, Li Z*, et al. Solving the railway timetable rescheduling problem with graph neural networks [J]. Railway Engineering Science , 2025: 1-22. (中科院2区，通讯作者)

10.Liu Q, Wang S, Li Z*, et al. Prediction of high-speed train delay propagation based on causal text information[J]. Railway Engineering Science, 2022: 1-18. (中科院2区，通讯作者)

11.Wen C, Li Z, Lessan J, et al. Statistical investigation on train primary delay based on real records: evidence from Wuhan–Guangzhou HSR[J]. International Journal of Rail Transportation, 2017, 5(3): 170-189. (导师1作，中科院2区)

12.Wen C, Li Z, Huang P, et al. Cause-specific investigation of primary delays of Wuhan–Guangzhou HSR[J]. Transportation Letters, 2020, 12(7): 451-464. (导师1作，中科院3区)

13.Li Z, Huang P, Wen C, et al. Modelling Rail System Delay Influences to Support Improved Delay Propagation Prediction [C], Transportation Research Board 99th Annual Meeting, 2020.01. (国际会议)

14.Li Z, Huang P, Rong C, et al. Prediction of Train Departure Delays at Multi-line Stations Considering Network Propagation Effects [C], Transportation Research Board 101th Annual Meeting, 2022.01. (国际会议)

15.文超, 李忠灿, 黄平, 等. 高速铁路初始晚点致因-影响列车数分布模型[J]. 西南交通大学学报, 2018, 53(6): 1261-1269. (EI)

16.文超, 李忠灿, 黄平, 等. 数据驱动的列车晚点传播研究[J]. 中国安全科学学报, 2019, 29(S2): 1. (CSCD)

17.Huang P, Li Z, Wen C, et al. Modeling train timetables as images: A cost-sensitive deep learning framework for delay propagation pattern recognition[J]. Expert Systems with Applications, 2021, 177: 114996. (中科院1区Top)

        18. Li J, Li Z, Wen C, et al. Train operation conflict detection for high-speed railways: a naïve Bayes approach[J]. International Journal of Rail Transportation, 2022: 1-19. (中科院2区)

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科研项目

1.        2023/12-2025/12，主持博士后面上项目《融合干扰影响模式识别与晚点演化效果的高铁网络列车运行调整方法研究》；

2.        2025/01-2027/12，主持国家自然科学青年C基金项目《融合冲突影响效果的高速铁路到发线冲突消解方法研究》；

3.        2026/01-2027/12，主持四川省青年科学基金B类项目《面向晚点传播抑制的高速铁路列车运行图弹性优化方法研究》；

4.        2022/12-至今，参与国家科技部重点研发计划《多专业协同与运力动态配置的智能综合调度指挥技术》，主研；

5.        2019/01-至今，参与国家自然科学基金高铁联合基金《基于协同指挥的高铁智能调度理论与方法研究》，主研；

6.     2017/07-2020/12，参与国家重点研发计划子课题《区域轨道交通协同运输与服务体系》，主研；

• 运输组织仿真
• 多式联运运输组织优化
• 编组站运输组织智能化
• 高速铁路智能化调度