Zhongcan Li - Publications, H-index & Citations

Zhongcan Li

Southwest Jiaotong University

12H指数

32论文数

504被引数

收录论文 16

发表时间

Robust train timetabling based on realized operations: a data-driven prediction-optimization framework 基于实际运营的鲁棒列车时刻表编制：一种数据驱动的预测-优化框架

Transportation Research Part E-Logistics and Transportation Review

IF8.8

2026-05-01

PREAI

Huang, Ping; D'Ariano, Andrea; Yang, Yuxiang; Lu, Gongyuan; Li, Zhongcan; Corman, Francesco

Train timetable rescheduling considering potential train operation conflicts: an enhanced deep reinforcement learning approach 考虑潜在列车运行冲突的列车时刻表重调度：一种增强型深度强化学习方法

International Journal of Rail Transportation

IF3.6

2026-01-01

PREAI

Luo, Jie; Huang, Ping; Li, Zhongcan; Pang, Zishuai; D'Ariano, Andrea

Integrating graph and neural relational inference for network-wide train delay prediction: An equilibrium between accuracy and interpretability 整合图与神经关系推理用于网络范围列车延误预测：准确性与可解释性之间的平衡

Transportation Research Part C: Emerging Technologies

IF0

2025-11-08

PREAI

Zhongcan Li; Wei Dong; Yindong Ji; Jie Luo; Ping Huang

Solving the railway timetable rescheduling problem with graph neural networks 利用图神经网络解决铁路时刻表重调度问题

Railway Engineering Science

IF5.4

2025-09-27

OAAI

Ping Huang; Zihuan Peng; Zhongcan Li; Qiyuan Peng

Integrated scheduling method for heavy-haul transportation with virtual coupling based on two-phase optimization strategy 基于两阶段优化策略的虚拟耦合重型运输集成调度方法

Expert Systems with Applications

IF7.5

2025-08-19

PREAI

Lezhou Wu; Zhongcan Li; Wei Dong; Hao Ye; Ming Jiang

Railway network delay evolution: A heterogeneous graph neural network approach

APPLIED SOFT COMPUTING

IF6.6

2024-07-01

OAAI

Li, Zhongcan; Huang, Ping; Wen, Chao; Dong, Wei; Ji, Yindong; Rodrigues, Filipe

Prediction of departure delays at original stations using deep learning approaches: A combination of route conflicts and rolling stock connections

EXPERT SYSTEMS WITH APPLICATIONS

IF7.5

2023-11-01

PREAI

Li, Zhongcan; Huang, Ping; Wen, Chao; Li, Jie; Rodrigues, Filipe

Train traffic control in merging stations: A data-driven approach*

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

IF7.9

2023-07-01

PREAI

Huang, Ping; Li, Zhongcan; Zhu, Yongqiu; Wen, Chao; Corman, Francesco

Train operation conflict detection for high-speed railways: a naive Bayes approach

INTERNATIONAL JOURNAL OF RAIL TRANSPORTATION

IF3.6

2022-05-08

PREAI

Li, Jie; Li, Zhongcan; Wen, Chao; Peng, Qiyuan; Huang, Ping

Prediction of train arrival delays considering route conflicts at multi-line stations

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

IF7.9

2022-05-01

OAAI

Li, Zhongcan; Huang, Ping; Wen, Chao; Jiang, Xi; Rodrigues, Filipe

Modeling train timetables as images: A cost-sensitive deep learning framework for delay propagation pattern recognition

EXPERT SYSTEMS WITH APPLICATIONS

IF7.5

2021-09-01

PREAI

Huang, Ping; Li, Zhongcan; Wen, Chao; Lessan, Javad; Corman, Francesco; Fu, Liping

Near-term train delay prediction in the Dutch railways network

INTERNATIONAL JOURNAL OF RAIL TRANSPORTATION

IF3.6

2020-11-15

PREAI

Li, ZhongCan; Wen, Chao; Hu, Rui; Xu, Chuanlin; Huang, Ping; Jiang, Xi

Predictive models for influence of primary delays using high-speed train operation records

JOURNAL OF FORECASTING

IF2.7

2020-04-13

PREAI

Li, Zhongcan; Huang, Ping; Wen, Chao; Tang, Yixiong; Jiang, Xi

A predictive model of train delays on a railway line

JOURNAL OF FORECASTING

IF2.7

2019-12-29

PREAI

Wen, Chao; Mou, Weiwei; Huang, Ping; Li, Zhongcan

Cause-specific investigation of primary delays of Wuhan-Guangzhou HSR

TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH

IF3.3

2019-06-28

PREAI

Wen, Chao; Li, Zhongcan; Huang, Ping; Lessan, Javad; Fu, Liping; Jiang, Chaozhe

Train Dispatching Management With Data-Driven Approaches: A Comprehensive Review and Appraisal

IEEE ACCESS

IF3.6

2019-01-01

OAAI

Wen, Chao; Huang, Ping; Li, Zhongcan; Lessan, Javad; Fu, Liping; Jiang, Chaozhe; Xu, Xinyue

研究方向