Understanding and Predicting the Short-Term Passenger Flow of Station-Free Shared Bikes: A Spatiotemporal Deep Learning Approach. - Ximing Chang; Ziyan Feng; Jianjun Wu 003; Huijun Sun; Guang Wang 001; Xu Bao (IEEE Intell. Transp. Syst. Mag., 2022)

Uncertain demand based integrated optimisation for train timetabling and coupling on the high-speed rail network. - Ziyan Feng; Chengxuan Cao; Alireza Mostafizi; Haizhong Wang; Ximing Chang (Int. J. Prod. Res., 2023)

An improved density peaks clustering algorithm based on k nearest neighbors and turning point for evaluating the severity of railway accidents. - Lingyuan Shi; Xin Yang 013; Ximing Chang; Jianjun Wu 003; Huijun Sun (Reliab. Eng. Syst. Saf., 2023)

Reinforcement learning-based order-dispatching optimization in the ride-sourcing service. - Yinquan Wang; Huijun Sun; Ying Lv; Ximing Chang; Jianjun Wu 003 (Comput. Ind. Eng., 2024)

Ridesplitting demand prediction via spatiotemporal multi-graph convolutional network. - Yafei Li; Huijun Sun; Ying Lv; Ximing Chang (Expert Syst. Appl., 2024)

Combining travel behavior in metro passenger flow prediction: A smart explainable Stacking-Catboost algorithm. - Jiarui Yu; Ximing Chang; Songhua Hu; Haodong Yin; Jianjun Wu (Inf. Process. Manag., 2024)

Transport capacity optimization for high-speed rail network considering flexible train composition and additional capacity pool. - Ziyan Feng; Xiang Li; Jianjun Wu; Ximing Chang (Inf. Sci., 2024)

Graph transformer embedded deep learning for short-term passenger flow prediction in urban rail transit systems: A multi-gate mixture-of-experts model. - Songhua Hu; Jianhua Chen; Wei Zhang; Guanhua Liu; Ximing Chang (Inf. Sci., 2024)

Integrated optimization of transport capacity and train timetabling with time-dependent passenger demand. - Ziyan Feng; Ximing Chang; Jianjun Wu (Int. J. Gen. Syst., 2024)

Cross-line crew scheduling optimization in urban rail transit systems. - Yifan Xu; Haodong Yin; Shuang Yang; Hankun Zheng; Ximing Chang; Jianjun Wu (Comput. Ind. Eng., 2025)

Optimizing integrated train rescheduling strategies for diverse disruption scenarios using reinforcement learning. - Haodong Yin; Lina Liu; Ximing Chang; Hao Fu; Jianjun Wu (Comput. Ind. Eng., 2025)