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Time Granularity Setting Principle for Short-Term Passenger Flow Prediction in Urban Rail Transit Journal article
Zhu, Guangyu, Gong, Yansu, Ding, Jiacun, Wu, Edmond Q., Law, Rob. Time Granularity Setting Principle for Short-Term Passenger Flow Prediction in Urban Rail Transit[J]. IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2024, 11(5), 6466-6475.
Authors:  Zhu, Guangyu;  Gong, Yansu;  Ding, Jiacun;  Wu, Edmond Q.;  Law, Rob
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:4.5/4.6 | Submit date：2024/06/05
Autocorrelation Coefficient  Passenger Flow Characteristics  Short-term Prediction Model  Time Granularity Setting  Urban Rail Transit (Urt) Passenger Flow  
Service Level and Operational Resilience Assessment of Urban Rail Transit Under Disruption Conditions Based on Multimodal Information Perception Journal article
Zhu, Guangyu, Wang, Yiru, Mu, Liang, Duan, Wenjie, Liu, Rengkui, Wu, Bo, Law, Rob. Service Level and Operational Resilience Assessment of Urban Rail Transit Under Disruption Conditions Based on Multimodal Information Perception[J]. IEEE Transactions on Automation Science and Engineering, 2024.
Authors:  Zhu, Guangyu;  Wang, Yiru;  Mu, Liang;  Duan, Wenjie;  Liu, Rengkui; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:5.9/6.0 | Submit date：2024/05/16
Urban Rail Transit, Operational Resilience  Service Level  Emergency Management  Multimodal  
Extraction of Emergency Elements and Business Process Model of Urban Rail Transit Plans Journal article
Guangyu Zhu, Rongzheng Yang, Edmond Q. Wu, Rob Law. Extraction of Emergency Elements and Business Process Model of Urban Rail Transit Plans[J]. IEEE Transactions on Computational Social Systems, 2024, 11(2), 1744-1752.
Authors:  Guangyu Zhu;  Rongzheng Yang;  Edmond Q. Wu;  Rob Law
Favorite | TC[WOS]:3 TC[Scopus]:2  IF:4.5/4.6 | Submit date：2023/08/03
Business Process Modeling Notation  Deep Learning  Emergency Plan  Nested Entity Extraction  Urban Rail Transit (Urt)  
Power Flow Control-Based Regenerative Braking Energy Utilization in AC Electrified Railways: Review and Future Trends Journal article
Chen, Junyu, Hu, Haitao, Wang, Minghao, Ge, Yinbo, Wang, Ke, Huang, Yi, Yang, Kai, He, Zhengyou, Xu, Zhao, Li, Yunwei Ryan. Power Flow Control-Based Regenerative Braking Energy Utilization in AC Electrified Railways: Review and Future Trends[J]. IEEE Transactions on Intelligent Transportation Systems, 2024, 25(7), 6345 - 6365.
Authors:  Chen, Junyu;  Hu, Haitao;  Wang, Minghao;  Ge, Yinbo;  Wang, Ke; et al.
Favorite | TC[WOS]:23 TC[Scopus]:26  IF:7.9/8.3 | Submit date：2024/05/16
Electrified Railways  Energy Efficiency  Energy Efficiency  Load Flow  Load Flow Control  Market Research  Power Flow Control  Rail Transportation  Regenerative Braking Energy  Topology  Transformers  
Emergency Control Method of Multi-Modal Passenger Flow in Urban Rail Transit Journal article
Zhu, Guangyu, Mu, Liang, Sun, Ranran, Zhang, Nuo, Wu, Bo, Zhang, Peng, Law, Rob. Emergency Control Method of Multi-Modal Passenger Flow in Urban Rail Transit[J]. IEEE Transactions on Automation Science and Engineering, 2023, 1 - 11.
Authors:  Zhu, Guangyu;  Mu, Liang;  Sun, Ranran;  Zhang, Nuo;  Wu, Bo; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:5.9/6.0 | Submit date：2024/02/22
Emergency Control  Multi-agent Deep Reinforcement Learning  Multi-modal Passenger Flow  Urban Rail Transit  
A Similarity Measurement Method of Normal Cloud Models for the Operational Status Perception and Computing of Urban Rail Transit Journal article
Zhu, Guangyu, Yang, Yubo, Sun, Ranran, Wu, Edmond Q., Law, Rob. A Similarity Measurement Method of Normal Cloud Models for the Operational Status Perception and Computing of Urban Rail Transit[J]. IEEE Transactions on Computational Social Systems, 2022, 11(1), 746-755.
Authors:  Zhu, Guangyu;  Yang, Yubo;  Sun, Ranran;  Wu, Edmond Q.;  Law, Rob
Favorite | TC[WOS]:5 TC[Scopus]:5  IF:4.5/4.6 | Submit date：2023/01/30
Analytical Models  Biological System Modeling  Computational Modeling  Entropy  Mathematical Models  Normal Cloud Model  Numerical Models  Operation State Perception  Similarity Measure  Uncertainty  Urban Rail Transit  Weight Measurement  
Ghost trains: past and future mobilities haunting a Southern Town Journal article
Hodges, Benjamin Kidder. Ghost trains: past and future mobilities haunting a Southern Town[J]. Mobilities, 2022, 17(3), 317-332.
Authors:  Hodges, Benjamin Kidder
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:2.9/3.2 | Submit date：2022/05/13
High-speed Rail  Race  Affect  Hauntology  Catastrophe  
Chinese travelers’ perceptions of demand-based pricing strategies of high-speed rail: a conjoint analysis approach Journal article
Basak Denizci-Guillet, Tianke Jiang, Zixi Peng, Rob Law. Chinese travelers’ perceptions of demand-based pricing strategies of high-speed rail: a conjoint analysis approach[J]. Journal of Revenue and Pricing Management, 2021, 22, 72-84.
Authors:  Basak Denizci-Guillet;  Tianke Jiang;  Zixi Peng;  Rob Law
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:1.1/1.2 | Submit date：2022/05/13
Chinese High-speed Rail  Conjoint Analysis  Rate Fences  Revenue Management  
Acoustic emission wave classification for rail crack monitoring based on synchrosqueezed wavelet transform and multi-branch convolutional neural network Journal article
Li, D., Wang, Y., Yan, W., Ren, W.X.. Acoustic emission wave classification for rail crack monitoring based on synchrosqueezed wavelet transform and multi-branch convolutional neural network[J]. Structural Health Monitoring, 2021, 20(4), 1563-1582.
Authors:  Li, D.;  Wang, Y.;  Yan, W.;  Ren, W.X.
Favorite | TC[WOS]:68 TC[Scopus]:70  IF:5.7/6.8 | Submit date：2022/08/21
Rail  Crack Monitoring  Acoustic Emission  Classification  Synchrosqueezed Wavelet Transform  Multi-branch Convolutional Neural Network  
Acoustic emission wave classification for rail crack monitoring based on synchrosqueezed wavelet transform and multi-branch convolutional neural network Journal article
Dan Li, Yang Wang, Wang Ji Yan, Wei Xin Ren. Acoustic emission wave classification for rail crack monitoring based on synchrosqueezed wavelet transform and multi-branch convolutional neural network[J]. Structural Health Monitoring, 2021, 20(4), 1563-1582.
Authors:  Dan Li;  Yang Wang;  Wang Ji Yan;  Wei Xin Ren
Favorite | TC[WOS]:68 TC[Scopus]:70  IF:5.7/6.8 | Submit date：2021/03/11
Rail  Crack Monitoring  Acoustic Emission  Classification  Synchrosqueezed Wavelet Transform  Multi-branch Convolutional Neural Network