Research Article
Short-Term Origin-Destination Based Metro Flow Prediction with Probabilistic Model Selection Approach
Table 5
The VAPE of outflow at each station on weekdays.
| Station | Combined | ARMA | NN | SVR | Averaging | Adaboost | kNN |
| 1 | 0.90 | 1.75 | 1.08 | 1.17 | 0.89 | 0.90 | 1.01 | 2 | 0.94 | 1.42 | 1.08 | 1.06 | 0.93 | 0.94 | 0.81 | 3 | 0.64 | 1.75 | 0.94 | 0.74 | 0.70 | 0.66 | 0.84 | 4 | 0.83 | 1.99 | 1.34 | 1.15 | 0.88 | 0.84 | 1.02 | 5 | 0.69 | 1.74 | 2.77 | 0.88 | 0.70 | 0.69 | 0.63 | 6 | 0.63 | 3.13 | 1.23 | 0.83 | 0.67 | 0.63 | 0.90 | 7 | 0.72 | 1.81 | 0.95 | 0.81 | 0.71 | 0.72 | 1.00 | 8 | 0.84 | 1.98 | 1.2 | 1.43 | 0.89 | 0.84 | 1.51 | 9 | 0.94 | 1.84 | 0.81 | 2.37 | 0.99 | 0.93 | 1.99 | 10 | 0.81 | 2.37 | 1.24 | 0.93 | 0.86 | 0.81 | 1.49 | 11 | 0.80 | 2.09 | 1.22 | 0.97 | 0.85 | 0.81 | 1.41 | 12 | 0.64 | 2.69 | 1.12 | 0.89 | 0.66 | 0.62 | 0.81 | 13 | 0.70 | 3.58 | 1.49 | 0.82 | 0.74 | 0.71 | 0.93 | 14 | 0.88 | 2.81 | 1.17 | 1.35 | 0.87 | 0.83 | 1.01 | 15 | 0.74 | 1.96 | 1.00 | 0.75 | 0.76 | 0.77 | 0.85 | 16 | 0.74 | 2.88 | 0.98 | 1.02 | 0.78 | 0.74 | 0.75 | 17 | 0.86 | 3.55 | 1.39 | 0.89 | 0.88 | 0.88 | 0.9 | 18 | 1.47 | 1.91 | 1.75 | 1.35 | 1.45 | 1.47 | 1.77 | 19 | 1.56 | 2.14 | 1.68 | 1.87 | 1.58 | 1.56 | 1.76 |
| # of best | 11 | 0 | 1 | 1 | 3 | 2 | 1 | Average | 0.86 | 2.29 | 1.29 | 1.12 | 0.88 | 0.86 | 1.13 |
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