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Coordinated Ride-hailing Order Scheduling and Charging for Autonomous Electric Vehicles Based on Deep Reinforcement Learning Conference paper
Zhang, Jinxi, Kong, Lingming, Zhang, Hongcai. Coordinated Ride-hailing Order Scheduling and Charging for Autonomous Electric Vehicles Based on Deep Reinforcement Learning[C], 2023, 2038-2044.
Authors:  Zhang, Jinxi;  Kong, Lingming;  Zhang, Hongcai
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2024/02/22
Autonomous Electric Vehicles  Deep Reinforcement Learning  Power-transportation Coupled Network  
Automatic incident detection using edge-cloud collaboration based deep learning scheme for intelligent transportation systems Journal article
Lu, Yuhuan, Lin, Qinghai, Chi, Haiyang, Chen, Jin Yong. Automatic incident detection using edge-cloud collaboration based deep learning scheme for intelligent transportation systems[J]. Applied Intelligence, 2023, 53(21), 24864-24875.
Authors:  Lu, Yuhuan;  Lin, Qinghai;  Chi, Haiyang;  Chen, Jin Yong
Favorite | TC[WOS]:2 TC[Scopus]:3  IF:3.4/3.9 | Submit date：2023/12/04
Automatic Incident Detection  Edge Computing  Graph Convolutional Network  Intelligent Transportation Systems  Variational Inference  
Highway Connection for Low-Latency and High-Accuracy Spiking Neural Networks Journal article
Zhang,Anguo, Wu,Junyi, Li,Xiumin, Li,Hung Chun, Gao,Yueming, Pun,Sio Hang. Highway Connection for Low-Latency and High-Accuracy Spiking Neural Networks[J]. IEEE Transactions on Circuits and Systems II: Express Briefs, 2023, 70(12), 4579-4583.
Authors:  Zhang,Anguo;  Wu,Junyi;  Li,Xiumin;  Li,Hung Chun;  Gao,Yueming; et al.
Favorite | TC[WOS]:1 TC[Scopus]:2  IF:4.0/3.7 | Submit date：2023/08/03
Biological Neural Networks  Computational Modeling  Firing  Highway Connection  Inference Response Speed  Membrane Potentials  Neurons  Road Transportation  Spiking Neural Network  Training  
Expansion Planning of Soft Open Points Based Distribution System Considering EV Traffic Flow Journal article
Shen,Yichen, Zhang,Shenxi, Ding,Maosheng, Cheng,Haozhong, Li,Canbing, Liu,Dundun. Expansion Planning of Soft Open Points Based Distribution System Considering EV Traffic Flow[J]. IEEE Transactions on Industry Applications, 2023, 60(1), 1229-1239.
Authors:  Shen,Yichen;  Zhang,Shenxi;  Ding,Maosheng;  Cheng,Haozhong;  Li,Canbing; et al.
Favorite | TC[WOS]:1 TC[Scopus]:3  IF:4.2/4.5 | Submit date：2023/08/03
Distribution System Planning  Ev Navigation  Soft Open Points  Traffic Flow  Transportation Network  
Spatial-temporal Scheduling of Electric Bus Fleet in Power-Transportation Coupled Network Journal article
Lingming Kong, Hongcai Zhang, Wei Li, Hao Bai, Ningyi Dai. Spatial-temporal Scheduling of Electric Bus Fleet in Power-Transportation Coupled Network[J]. IEEE Transactions on Transportation Electrification, 2022, 9(2), 2969-2982.
Authors:  Lingming Kong;  Hongcai Zhang;  Wei Li;  Hao Bai;  Ningyi Dai
Favorite | TC[WOS]:5 TC[Scopus]:9  IF:7.2/7.9 | Submit date：2023/01/30
Batteries  Charging Stations  Costs  Electric Bus  Energy Consumption  Flexibility  Mobile Energy Storage  Power-transportation Coupled Network  State Of Charge  Transportation  Uncertainty  
Trajectory Forecasting Based on Prior-Aware Directed Graph Convolutional Neural Network Journal article
Yuchao Su, Jie Du, Yuanman Li, Xia Li, Rongqin Liang, Zhongyun Hua, Jiantao Zhou. Trajectory Forecasting Based on Prior-Aware Directed Graph Convolutional Neural Network[J]. IEEE Transactions on Intelligent Transportation Systems, 2022, 23(9), 16773-16785.
Authors:  Yuchao Su;  Jie Du;  Yuanman Li;  Xia Li;  Rongqin Liang; et al.
Adobe PDF | Favorite | TC[WOS]:28 TC[Scopus]:34  IF:7.9/8.3 | Submit date：2022/05/17
Cooperative Intelligent Transportation Systems  Trajectory Prediction  Directed Graph Convolutional Neural Network  Asymmetric Interactions  
Network-wide traffic signal control optimization using a multi-agent deep reinforcement learning Journal article
Li,Zhenning, Yu,Hao, Zhang,Guohui, Dong,Shangjia, Xu,Cheng Zhong. Network-wide traffic signal control optimization using a multi-agent deep reinforcement learning[J]. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2021, 125, 103059.
Authors:  Li,Zhenning;  Yu,Hao;  Zhang,Guohui;  Dong,Shangjia;  Xu,Cheng Zhong
Favorite | TC[WOS]:75 TC[Scopus]:96  IF:7.6/9.6 | Submit date：2021/05/31
Multi-agent Reinforcement Learning  Knowledge Sharing  Adaptive Traffic Signal Control  Deep Learning  Transportation Network  
Ridesourcing Behavior Analysis and Prediction: A Network Perspective Journal article
Chen, Duxin, Shao, Qi, Liu, Zhiyuan, Yu, Wenwu, Chen, C. L.Philip. Ridesourcing Behavior Analysis and Prediction: A Network Perspective[J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 23(2), 1274-1283.
Authors:  Chen, Duxin;  Shao, Qi;  Liu, Zhiyuan;  Yu, Wenwu;  Chen, C. L.Philip
Favorite | TC[WOS]:4 TC[Scopus]:9  IF:7.9/8.3 | Submit date：2022/03/04
Complex Network  Entropy And Predictability  Non-markovian Features  Ridesourcing  Tncs  Traffic Behavior Analysis  Transportation Network Companies  
Optimal Investment of Electrolyzers and Seasonal Storages in Hydrogen Supply Chains Incorporated With Renewable Electric Networks Journal article
Jiarong Li, Jin Lin, Hongcai Zhang, Yonghua Song, Gang Chen, Lijie Ding, Danxi Liang. Optimal Investment of Electrolyzers and Seasonal Storages in Hydrogen Supply Chains Incorporated With Renewable Electric Networks[J]. IEEE Transactions on Sustainable Energy, 2019, 11(3), 1773-1784.
Authors:  Jiarong Li;  Jin Lin;  Hongcai Zhang;  Yonghua Song;  Gang Chen; et al.
Favorite | TC[WOS]:89 TC[Scopus]:117  IF:8.6/8.6 | Submit date：2021/05/10
Hydrogen Supply Chain  Electric Network  The Uniform Hierarchical Time Discretization Method  Hydrogen  Transportation  Renewable Energy Sources  Investment  Hydrogen Storage  Hydroelectric Power Generation  Power Systems