Research Article
Highway Travel Time Prediction of Segments Based on ANPR Data considering Traffic Diversion
Table 6
Error results of LSTM-CNN, CNN, and LSTM-ST for 5 days.
| Error | Methods | Day 1 | Day 2 | Day 3 | Day 4 | Day 5 |
| RMSE | LSTM-CNN | 0.1543 | 0.1409 | 0.1919 | 0.2177 | 0.1020 | CNNs | 0.3780 | 0.2572 | 0.3505 | 0.4735 | 0.3691 | LSTM-ST | 0.1655 | 0.2074 | 0.1946 | 0.2130 | 0.1447 |
| MAE | LSTM-CNN | 0.0958 | 0.0919 | 0.1128 | 0.1206 | 0.0729 | CNNs | 0.2897 | 0.2112 | 0.2730 | 0.3671 | 0.2988 | LSTM-ST | 0.1127 | 0.1581 | 0.1339 | 0.1533 | 0.1154 |
| MAPE (%) | LSTM-CNN | 1.7222 | 1.6533 | 2.0477 | 2.1821 | 1.3048 | CNNs | 5.1798 | 3.7511 | 4.9118 | 6.5902 | 5.3440 | LSTM-ST | 2.0145 | 2.8202 | 2.4260 | 2.7627 | 2.0538 |
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