Spatiotemporal Demand Prediction for Bike Sharing Based on WT-ConvLSTM
To accurately predict the spatiotemporal demand for bike sharing, a hybrid model integrating wavelet transform (WT), long short-term memory (LSTM), and convolutional neural network (CNN) was developed, referred to as the WT-convolutional LSTM (ConvLSTM) model. In this model, Spearman’s rank correlat...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-01-01
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| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/adce/2551687 |
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