Research Article
Daily Commute Time Prediction Based on Genetic Algorithm
Table 5
Estimation results of the home-to-work travel time model.
| Variables |
Weibull distribution |
Exponential distribution | Coef. | -stat. | Coef. | -stat. |
| Constant | 3.11 | 163.26 | 2.84 | 73.09 | Income | −0.01 | −4.82 | −0.01 | −2.65 | Age | 0.01 | 22.49 | 0.00 | 7.00 | Occu-e | −0.20 | −19.86 | −0.10 | −4.49 | Gender | −0.04 | −7.38 | −0.04 | −3.72 | Mode-w | −0.18 | −17.28 | −0.14 | −7.65 | Mode-bi | 0.07 | 7.04 | 0.15 | 8.93 | Mode-bu | 0.20 | 4.28 | — | — | Mode-a | −0.04 | −2.97 | — | — | Distance | 0.00013 | 100.58 | 0.00012 | 57.51 | Departure time | −0.09 | −29.84 | −0.09 | −13.06 | Work | −0.32 | −29.82 | −0.19 | −7.36 | | 0.50 | — | 1 | — | Prob > chi2 | 0.0000 | 0.0000 | | 37842 |
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