Research Article
Predicting Fine-Grained Traffic Conditions via Spatio-Temporal LSTM
Table 2
MAEs comparison of GPR, ConvLSTM, and MapLSTM.
| Algorithms | Speed | Count | TT_WE | TT_EW | TT_SN | TT_NS |
| GPR | 70.79 | 46.43 | 66.81 | 70.7 | 63.2 | 66.08 |
| ConvLSTM | Train | 18.78 | 7.18 | 18.75 | 18.27 | 17.77 | 19.01 | Test | 19.27 | 7.32 | 18.71 | 18.11 | 18.14 | 19.29 |
| ConvLSTM+ | Train | 19.44 | 7.13 | 18.75 | 18.59 | 17.82 | 19.46 | Test | 18.91 | 6.89 | 18.71 | 17.96 | 17.85 | 18.93 |
| MapLSTM | Train | 18.33 | 5.59 | 16.42 | 16.5 | 16.94 | 18.62 | Test | 18.53 | 7.05 | 16.91 | 17.21 | 17 | 18.57 |
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