Research Article
Computational Logistics for Container Terminal Handling Systems with Deep Learning
Table 7
Prediction deviation profile of liner berthing time for QRM-LBT-LTH by complete features.
| | Prediction deviation (hours) | Minimum of liners | Maximum of liners | Mean of liners | Median of liners | Mode of liners | SD of liners | Variance of liners | Quantitative proportion of liners (%) |
| | [0, 0.1] | 8.000 | 116.000 | 66.530 | 75.500 | 38.000 | 34.747 | 1207.329 | 51.574 | | (0.1, 0.2] | 8.000 | 85.000 | 43.830 | 43.000 | 73.000 | 23.163 | 536.541 | 33.977 | | (0.2, 0.3] | 0.000 | 64.000 | 14.590 | 7.000 | 3.000 | 15.359 | 235.902 | 11.310 | | (0.3, 0.4] | 0.000 | 16.000 | 3.210 | 2.000 | 2.000 | 3.080 | 9.486 | 2.488 | | (0.4, 0.5] | 0.000 | 5.000 | 0.640 | 0.000 | 0.000 | 0.855 | 0.730 | 0.496 | | (0.5, +∞] | 0.000 | 3.000 | 0.200 | 0.000 | 0.000 | 0.490 | 0.240 | 0.155 |
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