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2020 – today
- 2024
[j8]Yinquan Wang
, Huijun Sun, Ying Lv, Ximing Chang, Jianjun Wu:
Reinforcement learning-based order-dispatching optimization in the ride-sourcing service. Comput. Ind. Eng. 192: 110221 (2024)- [j7]Yafei Li, Huijun Sun, Ying Lv, Ximing Chang:
Ridesplitting demand prediction via spatiotemporal multi-graph convolutional network. Expert Syst. Appl. 247: 123207 (2024) - [j6]Jiarui Yu, Ximing Chang, Songhua Hu, Haodong Yin, Jianjun Wu:
Combining travel behavior in metro passenger flow prediction: A smart explainable Stacking-Catboost algorithm. Inf. Process. Manag. 61(4): 103733 (2024) - [j5]Songhua Hu, Jianhua Chen, Wei Zhang, Guanhua Liu, Ximing Chang:
Graph transformer embedded deep learning for short-term passenger flow prediction in urban rail transit systems: A multi-gate mixture-of-experts model. Inf. Sci. 679: 121095 (2024) - [j4]Ziyan Feng, Xiang Li, Jianjun Wu, Ximing Chang:
Transport capacity optimization for high-speed rail network considering flexible train composition and additional capacity pool. Inf. Sci. 680: 121175 (2024) - 2023
- [j3]Ziyan Feng, Chengxuan Cao, Alireza Mostafizi, Haizhong Wang, Ximing Chang:
Uncertain demand based integrated optimisation for train timetabling and coupling on the high-speed rail network. Int. J. Prod. Res. 61(5): 1532-1555 (2023) - [j2]Lingyuan Shi, Xin Yang, Ximing Chang, Jianjun Wu, Huijun Sun:
An improved density peaks clustering algorithm based on k nearest neighbors and turning point for evaluating the severity of railway accidents. Reliab. Eng. Syst. Saf. 233: 109132 (2023) - 2022
- [j1]Ximing Chang, Ziyan Feng, Jianjun Wu, Huijun Sun, Guang Wang, Xu Bao:
Understanding and Predicting the Short-Term Passenger Flow of Station-Free Shared Bikes: A Spatiotemporal Deep Learning Approach. IEEE Intell. Transp. Syst. Mag. 14(4): 73-85 (2022)
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