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Learning to reschedule platforms: A graph neural network based deep reinforcement learning method for the train platforming and rescheduling problem,Hongxiang Zhang,Andrea D'Ariano,Yongqiu Zhu, Yaoxin Wu, Liuyang Hu,Gongyuan Lu*.Transportation Research Part C: Emerging Technologies,2026,183:105453
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Railcar itinerary optimization in railway marshalling yards: a graph neural network based deep reinforcement learning method,Hongxiang Zhang,Gongyuan Lu,Yingqian Zhang, Andrea D’Ariano,Yaoxin Wu*.Transportation Research Part C: Emerging Technologies,2025,171:104970
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A hybrid framework for synchronized passenger and train traffic simulation in an urban rail transit network,Hongxiang Zhang,Gongyuan Lu, Yuanzheng Lei,Guangyuan Zhang*, Irene Niyitanga.International Journal of Rail Transportation,2023,11(6):912-941
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A multi-agent simulation based train platforming research for facilitating passenger transfer in a high-speed railway station,Hongxiang Zhang,Miao Guo, Liuyang Hu,Gongyuan Lu*.Simulation modelling practice and theory,2024,130:102856
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A simulation and machine learning based optimization method for integrated pedestrian facilities planning and staff assignment problem in the multi-mode rail transit transfer station,Hongxiang Zhang,Bisheng He*,Gongyuan Lu, Yongjun Zhu.Simulation modelling practice and theory,2022,115:102449
