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Short-term passenger flow prediction for multi-traffic modes: A
  Transformer and residual network based multi-task learning method

Short-term passenger flow prediction for multi-traffic modes: A Transformer and residual network based multi-task learning method

27 February 2022
Yongjie Yang
Jinlei Zhang
Lixing Yang
Xiaohong Li
Ziyou Gao
    AI4TS
ArXivPDFHTML

Papers citing "Short-term passenger flow prediction for multi-traffic modes: A Transformer and residual network based multi-task learning method"

3 / 3 papers shown
Title
Multimodal joint prediction of traffic spatial-temporal data with graph sparse attention mechanism and bidirectional temporal convolutional network
Multimodal joint prediction of traffic spatial-temporal data with graph sparse attention mechanism and bidirectional temporal convolutional network
Dongran Zhang
Jiangnan Yan
K. Polat
A. Alhudhaif
Jun Li
AI4TS
29
11
0
31 Dec 2024
CSP-AIT-Net: A contrastive learning-enhanced spatiotemporal graph attention framework for short-term metro OD flow prediction with asynchronous inflow tracking
CSP-AIT-Net: A contrastive learning-enhanced spatiotemporal graph attention framework for short-term metro OD flow prediction with asynchronous inflow tracking
Yichen Wang
Chengcheng Yu
61
0
0
02 Dec 2024
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
201
7,902
0
13 Jun 2015
1