Research Article
Daily Commute Time Prediction Based on Genetic Algorithm
Table 2
Statistics index of the variables.
| Variables | Percentage of each value | 1 | 0 |
| Gender | 50.96% | 49.04% | Occu-b | 42.44% | 57.56% | Occu-a | 3.48% | 96.52% | Occu-e | 30.29% | 69.71% | Occu-s | 9.19% | 90.81% | Occu-h | 2.49% | 97.51% | Mode-w | 42.51% | 57.49% | Mode-bi | 43.89% | 56.11% | Mode-bu | 0.31% | 99.69% | Mode-a | 4.67% | 95.33% | Work | 72.79% | 27.21% | | 1: 13.46% | 5: 11.86% | Income | 2: 24.90% | 6: 1.41% | 3: 24.18% | 7: 0.16% | | 4: 23.92% | 8: 0.10% |
| | Continuous variables | |
| Variables | Mean | Standard deviation |
| Distance | 2806.1 | 3416.91 | Age | 32.93 | 15.32 |
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