Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit

IET Intelligent Transport Systems ◽

10.1049/iet-its.2019.0873 ◽

2020 ◽

Vol 14 (10) ◽

pp. 1210-1217

Author(s):

Jinlei Zhang ◽

Feng Chen ◽

Yinan Guo ◽

Xiaohong Li

Keyword(s):

Urban Rail Transit ◽

Rail Transit ◽

Convolutional Network ◽

Passenger Flow ◽

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Short-Term Passenger Flow Prediction for Urban Rail Transit Based on Time-Space Attention Graph Convolutional Network

2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT) ◽

10.1109/isctt51595.2020.00104 ◽

2020 ◽

Author(s):

Guoxing Zhang ◽

Wei Liu ◽

Hao Zheng ◽

Tianyi Ma

Keyword(s):

Urban Rail Transit ◽

Rail Transit ◽

Convolutional Network ◽

Passenger Flow ◽

Flow Prediction ◽

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Forecast Method of Short - term Passenger Flow on Urban Rail Transit

Proceedings of the 2017 VI International Conference on Network, Communication and Computing - ICNCC 2017 ◽

10.1145/3171592.3171633 ◽

2017 ◽

Author(s):

Ling Guo ◽

Yue Yuan

Keyword(s):

Urban Rail Transit ◽

Rail Transit ◽

Forecast Method ◽

Passenger Flow ◽

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Deep Learning Architecture for Short-Term Passenger Flow Forecasting in Urban Rail Transit

IEEE Transactions on Intelligent Transportation Systems ◽

10.1109/tits.2020.3000761 ◽

2020 ◽

pp. 1-11 ◽

Author(s):

Jinlei Zhang ◽

Feng Chen ◽

Zhiyong Cui ◽

Yinan Guo ◽

Yadi Zhu

Keyword(s):

Deep Learning ◽

Urban Rail Transit ◽

Rail Transit ◽

Passenger Flow ◽

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Short-term Urban Rail Transit Passenger Flow Forecasting Based on Empirical Mode Decomposition and LSTM

Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019) ◽

10.2991/masta-19.2019.20 ◽

2019 ◽

Author(s):

Zi-ji-an Wang ◽

Chao Chen ◽

Xiao-le Li ◽

Jing Li

Keyword(s):

Empirical Mode Decomposition ◽

Urban Rail Transit ◽

Rail Transit ◽

Passenger Flow ◽

Mode Decomposition ◽

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Cluster-Based LSTM Network for Short-Term Passenger Flow Forecasting in Urban Rail Transit

IEEE Access ◽

10.1109/access.2019.2941987 ◽

2019 ◽

Vol 7 ◽

pp. 147653-147671 ◽

Author(s):

Jinlei Zhang ◽

Feng Chen ◽

Qing Shen

Keyword(s):

Urban Rail Transit ◽

Rail Transit ◽

Passenger Flow ◽

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The use of deep learning combined with wavelet analysis in short-term passenger flow forecast of urban rail transit

10.1117/12.2620460 ◽

2021 ◽

Author(s):

haiyong yu ◽

Lili Huang ◽

Kang Chen

Keyword(s):

Deep Learning ◽

Wavelet Analysis ◽

Urban Rail Transit ◽

Rail Transit ◽

Passenger Flow ◽

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Short-Term Passenger Flow Forecast in Urban Rail Transit Based on Enhanced K-Nearest Neighbor Approach

10.1061/9780784482292.148 ◽

2019 ◽

Author(s):

Jincheng Bai ◽

Min He ◽

Chunyan Shuai

Keyword(s):

Nearest Neighbor ◽

Urban Rail Transit ◽

Rail Transit ◽

K Nearest Neighbor ◽

Passenger Flow ◽

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Short-Term Prediction of Urban Rail Transit Passenger Flow in External Passenger Transport Hub Based on LSTM-LGB-DRS

IEEE Transactions on Intelligent Transportation Systems ◽

10.1109/tits.2020.3017109 ◽

2020 ◽

pp. 1-11

Author(s):

Yun Jing ◽

Hongtao Hu ◽

Siye Guo ◽

Xuan Wang ◽

Fangqiu Chen

Keyword(s):

Urban Rail Transit ◽

Rail Transit ◽

Passenger Transport ◽

Passenger Flow ◽

Term Prediction ◽

Short Term Prediction

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Forecasting Short-Term Entrance Passenger Flow of Urban Rail Transit Stations by the Improved Elman Neural Network

10.1061/9780784482292.144 ◽

2019 ◽

Author(s):

Tao Bi ◽

Jiantao He ◽

Lingling Ma ◽

Qiao Xie ◽

Mao Ye

Keyword(s):

Neural Network ◽

Urban Rail Transit ◽

Rail Transit ◽

Elman Neural Network ◽

Passenger Flow ◽

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The Short-Term Passenger Flow Forecasting of Urban Rail Transit Based on Holt-Winters' Seasonal Method

2019 4th International Conference on Electromechanical Control Technology and Transportation (ICECTT) ◽

10.1109/icectt.2019.00067 ◽

2019 ◽

Author(s):

Xiao Wang

Keyword(s):

Urban Rail Transit ◽

Rail Transit ◽

Passenger Flow ◽

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