| A decomposition-based forecasting method with transfer learning for railway short-term passenger flow in holidays K Wen, G Zhao, B He, J Ma, H Zhang Expert Systems with Applications 189, 116102, 2022 | 40 | 2022 |
| Optimizing total passenger waiting time in an urban rail network: A passenger flow guidance strategy based on a multi-agent simulation approach Y Lei, G Lu, H Zhang, B He, J Fang Simulation Modelling Practice and Theory 117, 102510, 2022 | 16 | 2022 |
| A simulation and machine learning based optimization method for integrated pedestrian facilities planning and staff assignment problem in the multi-mode rail transit transfer … H Zhang, B He, G Lu, Y Zhu Simulation Modelling Practice and Theory 115, 102449, 2022 | 16 | 2022 |
| A microscopic agent-based simulation for real-time dispatching problem of a busy railway passenger station B He, P Chen, A D’Ariano, L Chen, H Zhang, G Lu 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 9 | 2020 |
| Machine Learning based integrated pedestrian facilities planning and staff assignment problem in transfer stations B He, H Zhang, K Wen, G Lu 8th International Conference on Railway Operations Modelling and Analysis …, 2019 | 8 | 2019 |
| A hybrid framework for synchronized passenger and train traffic simulation in an urban rail transit network H Zhang, G Lu, Y Lei, G Zhang, I Niyitanga International Journal of Rail Transportation 11 (6), 912-941, 2023 | 5 | 2023 |
| Real-time Scheduling Method for Railway Passenger Station Operations Based on Digital Twin B He, P Chen, H Zhang, G Lu, C Zhang Journal of System Simulation 34 (10), 2130-2141, 2022 | 3 | 2022 |
| 基于数字孪生的铁路客运站技术作业实时调度方法 何必胜， 陈鹏， 张宏翔， 鲁工圆， 张春辉 系统仿真学报 34 (10), 2130, 2022 | 2 | 2022 |
| 面向能耗优化的高速铁路列车追踪间隔压缩方法 毛润丰, 彭其渊, 张宏翔, 沈子力鲁工圆 铁道运输与经济 43 (5), 8-17, 2021 | 2 | 2021 |
| A multi-agent simulation based train platforming research for facilitating passenger transfer in a high-speed railway station H Zhang, M Guo, L Hu, G Lu Simulation Modelling Practice and Theory 130, 102856, 2024 | | 2024 |
| Railcar Itinerary Optimization in Railway Marshalling Yards: A Graph Neural Network Based Deep Reinforcement Learning Method H Zhang, G Lu, Y Zhang, A D’Ariano, Y Wu Available at SSRN 4673351, 2023 | | 2023 |
| Evaluating Car-to-Train Assignment Strategies for the Railway Marshalling yard using a Multi-Agent Simulation Approach Z Li, H Zhang, W Wen, B He, Y Wang RailBelgrade - 10th International Conference on Railway Operations Modelling …, 2023 | | 2023 |
| 基于车站仿真和 LSTM 的轨道交通换乘站动态性能评估方法 何必胜， 张宏翔， 朱永俊， 鲁工圆 系统仿真学报 35 (3), 544, 2023 | | 2023 |
| Dynamic Performance Evaluation Method for Transfer in Rail Transit Station Based on Station Simulation and LSTM B He, H Zhang, Y Zhu, G Lu Journal of System Simulation 35 (3), 544-556, 2023 | | 2023 |
| 基于多智能体仿真的城市轨道交通限流策略 鲁工圆， 雷元争， 张宏翔 同济大学学报 (自然科学版) 50 (8), 1189-1197, 2022 | | 2022 |
| A collaborative method for improving passenger transportation capacity of an over-saturated urban rail transit line H Zhang, Y Lei, G Lu, D Gong RailBeijing 2021. 9th International Conference on Railway Operations …, 2021 | | 2021 |
| 考虑行车因素的轨道交通车站换乘仿真分析 何必胜， 张宏翔， 闻克宇， 鲁工圆 交通运输工程与信息学报 18 (2), 47-58, 2020 | | 2020 |
| 国外高铁货运产品发展及对我国的启示 何必胜， 张宏翔， 闻克宇， 张光远 综合运输, 97-105, 2019 | | 2019 |
Gongyuan Lu 鲁工圆Professor, Southwest Jiaotong UniversityVerified email at swjtu.cn
