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Dynamic traffic bottlenecks identification based on congestion diffusion model by influence maximization in metro-city scales Journal article
Concurrency Computation, 2021,Volume: 33,Issue: 6
Authors:  Zhao,Baoxin;  Xu,Cheng Zhong;  Liu,Siyuan;  Zhao,Juanjuan;  Li,Li
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bottlenecks identification  influence maximization  traffic congestion diffusion  traffic flow influence  
CD-guide: A reinforcement learning based dispatching and charging approach for electric taxicabs Conference paper
Proceedings - 2020 IEEE 17th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2020
Authors:  Yan,Li;  Shen,Haiying;  Kang,Liuwang;  Zhao,Juanjuan;  Xu,Chengzhong
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Reinforcement Learning based Scheduling for Cooperative EV-to-EV Dynamic Wireless Charging Conference paper
Proceedings - 2020 IEEE 17th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2020
Authors:  Yan,Li;  Shen,Haiying;  Kang,Liuwang;  Zhao,Juanjuan;  Xu,Chengzhong
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Mobicharger: Optimal scheduling for cooperative EV-to-EV dynamic wireless charging Conference paper
Proceedings - International Conference on Distributed Computing Systems
Authors:  Yan,Li;  Shen,Haiying;  Kang,Liuwang;  Zhao,Juanjuan;  Xu,Chengzhong
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Multi-STGCnet: A Graph Convolution Based Spatial-Temporal Framework for Subway Passenger Flow Forecasting Conference paper
Proceedings of the International Joint Conference on Neural Networks
Authors:  Ye,Jiexia;  Zhao,Juanjuan;  Ye,Kejiang;  Xu,Chengzhong
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GCN  LSTM  Passenger flow forecasting  Spatial-Temporal Forecasting  
A Destination Prediction Model for Individual Passengers in Urban Rail Transit Conference paper
2020 International Conference on High Performance Big Data and Intelligent Systems, HPBD and IS 2020
Authors:  Wang,Hao;  Zhao,Juanjuan;  Ye,Kejiang;  Xu,Cheng Zhong;  Zhang,Liutao;  Zhang,Jun;  Sun,Jing
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Context feature  Destination prediction  Group feature  Individual feature  Multi-nominal Logit model  
Spatiotemporal data fusion in graph convolutional networks for traffic prediction Journal article
IEEE Access, 2020,Volume: 8,Page: 76632-76641
Authors:  Zhao, Baoxin;  Gao, Xitong;  Liu, Jianqi;  Zhao, Juanjuan;  Xu, Chengzhong
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Data Fusion  Graph Convolutional Networks  Multi-source Data  Traffic Prediction  
Practical model with strong interpretability and predictability: An explanatory model for individuals' destination prediction considering personal and crowd travel behavior Journal article
Concurrency Computation, 2020
Authors:  Zhao,Juanjuan;  Ye,Jiexia;  Xu,Minxian;  Xu,Chengzhong
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crowd behavior  discrete choice model  individual destination prediction  neural network  
How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey Journal article
IEEE Transactions on Intelligent Transportation Systems, 2020
Authors:  Ye,Jiexia;  Zhao,Juanjuan;  Ye,Kejiang;  Xu,Chengzhong
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Accidents  Computer architecture  deep learning  Deep learning  GCN  GNNs  graph  graph convolution network  Graph neural networks  ITS.  Public transportation  Roads  Task analysis  traffic domain  traffic forecasting  Urban areas  
A Congestion Diffusion Model with Influence Maximization for Traffic Bottlenecks Identification in Metrocity Scales Conference paper
Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019
Authors:  Zhao,Baoxin;  Xu,Chengzhong;  Liu,Siyuan;  Zhao,Juanjuan;  Li,Li
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Bottlenecks identification  influence maximization  traffic congestion diffusion  traffic flow influence