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City metro network expansion based on multi-objective reinforcement learning Journal article
Zhang, Liqing, U, Leong Hou, Ni, Shaoquan, Chen, Dingjun, Li, Zhenning, Wang, Wenxian, Xian, Weizhi. City metro network expansion based on multi-objective reinforcement learning[J]. Transportation Research Part C: Emerging Technologies, 2024, 169, 104880.
Authors:  Zhang, Liqing;  U, Leong Hou;  Ni, Shaoquan;  Chen, Dingjun;  Li, Zhenning; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:7.6/9.6 | Submit date：2024/11/05
Actor-critic Network  Metro Expansion  Reinforcement Learning  
A Heterogeneous Graph Convolution Based Method for Short-Term OD Flow Completion and Prediction in a Metro System Journal article
Ye, Jiexia, Zhao, Juanjuan, Zheng, Furong, Xu, Chengzhong. A Heterogeneous Graph Convolution Based Method for Short-Term OD Flow Completion and Prediction in a Metro System[J]. IEEE Transactions on Intelligent Transportation Systems, 2024, 25(11), 15614-15627.
Authors:  Ye, Jiexia;  Zhao, Juanjuan;  Zheng, Furong;  Xu, Chengzhong
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:7.9/8.3 | Submit date：2024/12/05
Origin-destination Matrix Prediction  Data Completion  Metro  Spatiotemporal  Heterogeneous Graph  
STRmt: A state transition based model for real-time crowd counting in a metro system Journal article
Sun, Li, Zhao, Juanjuan, Zhang, Jun, Zhang, Fan, Ye, Kejiang, Xu, Chengzhong. STRmt: A state transition based model for real-time crowd counting in a metro system[J]. Concurrency and Computation: Practice and Experience, 2024, 36(14), e8086.
Authors:  Sun, Li;  Zhao, Juanjuan;  Zhang, Jun;  Zhang, Fan;  Ye, Kejiang; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:1.5/1.5 | Submit date：2024/05/16
Afc  Crowd Estimation  Gcn  Lstm  Metro System  
Application of copula-based Bayesian network method to water leakage risk analysis in cross river tunnel of Wuhan Rail Transit Line 3 Journal article
Wang,Lei, Chen,Hongyu, Liu,Yang, Li,Heng, Zhang,Wenjing. Application of copula-based Bayesian network method to water leakage risk analysis in cross river tunnel of Wuhan Rail Transit Line 3[J]. Advanced Engineering Informatics, 2023, 57, 102056.
Authors:  Wang,Lei;  Chen,Hongyu;  Liu,Yang;  Li,Heng;  Zhang,Wenjing
Favorite | TC[WOS]:12 TC[Scopus]:15  IF:8.0/8.2 | Submit date：2023/08/03
Cbn Model  Correlation Analysis  Operational Metro Tunnel  Water Leakage Risk  
GLTC: A Metro Passenger Identification Method Across AFC Data and Sparse WiFi Data Journal article
Zhao, Juanjuan, Zhang, Liutao, Ye, Kejiang, Ye, Jiexia, Zhang, Jun, Zhang, Fan, Xu, Chengzhong. GLTC: A Metro Passenger Identification Method Across AFC Data and Sparse WiFi Data[J]. IEEE Transactions on Intelligent Transportation Systems, 2022, 23(10), 18337-18351.
Authors:  Zhao, Juanjuan;  Zhang, Liutao;  Ye, Kejiang;  Ye, Jiexia;  Zhang, Jun; et al.
Favorite | TC[WOS]:6 TC[Scopus]:8  IF:7.9/8.3 | Submit date：2022/08/05
Metro System  Afc Data  Wifi Access Data  Trajectory  Passenger Identification  
Shortening passengers' travel time: A dynamic metro train scheduling approach using deep reinforcement learning Journal article
Wang, Zhaoyuan, Pan, Zheyi, Chen, Shun, Ji, Shenggong, Yi, Xiuwen, Zhang, Junbo, Wang, Jingyuan, Gong, Zhiguo, Li, Tianrui, Zheng, Yu. Shortening passengers' travel time: A dynamic metro train scheduling approach using deep reinforcement learning[J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2022, 35(5), 5282-5295.
Authors:  Wang, Zhaoyuan;  Pan, Zheyi;  Chen, Shun;  Ji, Shenggong;  Yi, Xiuwen; et al.
Favorite | TC[WOS]:2 TC[Scopus]:4  IF:8.9/8.8 | Submit date：2022/05/17
Metro Systems  Spatio-temporal Data  Neural Network  Deep Reinforcement Learning  Urban Computing  
A Data-Driven Method for Dynamic OD Passenger Flow Matrix Estimation in Urban Metro Systems Conference paper
Jiexia Ye, JuanJuan Zhao, Liutao Zhang, ChengZhong Xu, Jun Zhang, Kejiang Ye. A Data-Driven Method for Dynamic OD Passenger Flow Matrix Estimation in Urban Metro Systems[C], 2020, 116-126.
Authors:  Jiexia Ye;  JuanJuan Zhao;  Liutao Zhang;  ChengZhong Xu;  Jun Zhang; et al.
Favorite | TC[Scopus]:1 | Submit date：2021/09/18
Metro Systems  Afc Data  Data Mining  Intelligent Transportation Systems  Dynamic Od Flow  
Inundation risk assessment of metro system using AHP and TFN-AHP in Shenzhen Journal article
Hai-Min Lyu, Wan-Huan Zhou, Shui-Long Shen, An-Nan Zhou. Inundation risk assessment of metro system using AHP and TFN-AHP in Shenzhen[J]. Sustainable Cities and Society, 2020, 56, 102103.
Authors:  Hai-Min Lyu;  Wan-Huan Zhou;  Shui-Long Shen;  An-Nan Zhou
Favorite | TC[WOS]:226 TC[Scopus]:263  IF:10.5/10.0 | Submit date：2021/03/11
Triangular Fuzzy Number  Ahp  Gis  Inundation Risk  Metro System  
Data in flood risk assessment of metro systems in a subsiding environment using the interval FAHP–FCA approach Journal article
Lyu, Hai Min, Shen, Shui Long, Zhou, Annan, Zhou, Wan Huan. Data in flood risk assessment of metro systems in a subsiding environment using the interval FAHP–FCA approach[J]. Data in Brief, 2019, 26, 104468.
Authors:  Lyu, Hai Min;  Shen, Shui Long;  Zhou, Annan;  Zhou, Wan Huan
Favorite | TC[WOS]:11 TC[Scopus]:14  IF:1.0/1.0 | Submit date：2022/05/17
Fahp  Fca  Flood Risk  Subsiding Environment  Metro System  
Flood risk assessment of metro systems in a subsiding environment using the interval FAHP–FCA approach Journal article
Lyu, H. M., Shen, S. L., Zhou, A. N., Zhou, W. H.. Flood risk assessment of metro systems in a subsiding environment using the interval FAHP–FCA approach[J]. Sustainable Cities and Society, 2019, 101682-1-101682-14.
Authors:  Lyu, H. M.;  Shen, S. L.;  Zhou, A. N.;  Zhou, W. H.
Favorite | TC[WOS]:126 TC[Scopus]:141  IF:10.5/10.0 | Submit date：2022/08/20
Flood Risk  Metro System  Fahp  Fca  Gis  Subsiding Environment