Research Article
Evaluation of Using Genetic Algorithm and ArcGIS for Determining the Optimal-Time Path in the Optimization of Vehicle Routing Applications
Table 4
The calculated fitness value in rush hours for three chromosomes (routes).
| Route | Segment description (S, E) | Segment length (m) | Allowable velocity limit | Res. density | Time in rush hours (km/h) | 40 | 60 | 90 | 120 |
| Route 1 | (1, 2) | 500 | 60 | 0.208 | 0.033 | 0.025 | 0.017 | 0.013 | (2, 3) | 300 | 60 | 0.125 | 0.020 | 0.015 | 0.010 | 0.008 | (3, 5) | 300 | 40 | 0.188 | 0.020 | 0.015 | 0.010 | 0.008 | (5, 4) | 200 | 40 | 0.125 | 0.013 | 0.010 | 0.007 | 0.005 | Total (minutes) | 0.646 | 0.087 | 0.065 | 0.04 | 0.033 |
| Route 2 | (1, 2) | 500 | 60 | 0.208 | 0.033 | 0.025 | 0.017 | 0.013 | (2, 4) | 800 | 40 | 0.500 | 0.053 | 0.040 | 0.027 | 0.020 | Total (minutes) | 0.708 | 0.087 | 0.065 | 0.04 | 0.033 |
| Route 3 | (1, 3) | 500 | 60 | 0.208 | 0.033 | 0.025 | 0.017 | 0.013 | (3, 5) | 300 | 40 | 0.188 | 0.020 | 0.015 | 0.010 | 0.008 | (5, 4) | 200 | 40 | 0.125 | 0.013 | 0.010 | 0.007 | 0.005 | Total (minutes) | 0.521 | 0.067 | 0.050 | 0.03 | 0.025 |
|
|