Multi-STGCnet: A Graph Convolution Based Spatial-Temporal Framework for Subway Passenger Flow Forecasting

Author:

Ye Jiexia,Zhao Juanjuan,Ye Kejiang,Xu Chengzhong

Publisher

IEEE

Cited by 28 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Multi-Stage Fusion Framework for Short-Term Passenger Flow Forecasting in Urban Rail Transit Systems Using Multi-Source Data;Transportation Research Record: Journal of the Transportation Research Board;2024-01-31

2. The progress, challenges, and perspectives of directed greybox fuzzing;Software Testing, Verification and Reliability;2023-12-14

3. How spatial features affect urban rail transit prediction accuracy: a deep learning based passenger flow prediction method;Journal of Intelligent Transportation Systems;2023-11-12

4. Spatio-Temporal Dynamic Graph Relation Learning for Urban Metro Flow Prediction;IEEE Transactions on Knowledge and Data Engineering;2023-10-01

5. Model Generation and Origin - Destination(OD) Matrix Forecasting for metro systems;2023 7th International Young Engineers Forum (YEF-ECE);2023-07-07

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