Research Article
Optimal Operation Scheme with Short-Turn, Express, and Local Services in an Urban Rail Transit Line
Table 3
Computational results of the models.
| Instances | MILP model | Search Algorithm | Variable size | Objective value (RMB) | Best bound (RMB) | Gap (%) | Time (s) | Variable size | Objective value (RMB) | Gap (%) | Time (s) |
| (1, 6, 1) | 51978 | 46609 | 46609 | 0.00 | 2.8 | 1044 | 47253 | 1.38 | 74.2 | (2, 7, 1) | 119147 | 55378 | 55374 | 0.01 | 5.3 | 1281 | 56442 | 1.93 | 77.7 | (3, 8, 1) | 286494 | 79889 | 79887 | 0.00 | 44.3 | 1536 | 80043 | 0.19 | 125.8 | (4, 9, 1) | 697875 | 124740 | 124734 | 0.00 | 300.3 | 1809 | 126401 | 1.34 | 127.5 | (5, 10, 1) | 1754417 | 198218 | 198210 | 0.00 | 2535.0 | 2100 | 201629 | 1.72 | 172.1 |
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