has been cited by the following article(s):
[1]
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Short-Term Passenger Flow Prediction of Urban Rail Transit Based on SDS-SSA-LSTM
Journal of Advanced Transportation,
2022
DOI:10.1155/2022/2589681
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[2]
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A dynamic Bayesian network approach to forecast short-term urban rail passenger flows with incomplete data
Transportation Research Procedia,
2017
DOI:10.1016/j.trpro.2017.07.008
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[3]
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Dynamic Bayesian networks with Gaussian mixture models for short-term passenger flow forecasting
2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE),
2017
DOI:10.1109/ISKE.2017.8258756
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[4]
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Short-Term Urban Rail Passenger Flow Forecasting: A Dynamic Bayesian Network Approach
2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA),
2016
DOI:10.1109/ICMLA.2016.0187
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