Research Article
Networked Timetable Stability Improvement Based on a Bilevel Optimization Programming Model
Table 1
Computing results of the planned timetable stability.
(a) Related computing results of |
| Key nodes | Trains number through station | Nodes capacity | Load | Capacity index | Nodes degree | Degree index | Stations weight |
| 1 | 44 | 66.0 | 0.6667 | 0.3099 | 2.0000 | 0.1111 | 0.2245 | 2 | 23 | 34.5 | 0.6667 | 0.1620 | 3.0000 | 0.1667 | 0.1760 | 3 | 21 | 31.5 | 0.6667 | 0.1479 | 3.0000 | 0.1667 | 0.1607 | 4 | 0 | 15.0 | 0.0000 | 0.0704 | 4.0000 | 0.2222 | 0.1020 | 5 | 23 | 36.0 | 0.6389 | 0.1690 | 3.0000 | 0.1667 | 0.1837 | 6 | 21 | 30.0 | 0.7000 | 0.1408 | 3.0000 | 0.1667 | 0.1531 |
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(b) Related computing results of |
| Section | Trains number through section | Sections capacity | Load | Capacity index | Sections weight |
| 1-2 | 23 | 30.0 | 0.7667 | 0.1622 | 0.1622 | 1–3 | 21 | 27.5 | 0.7636 | 0.1486 | 0.1486 | 2–4 | 0 | 6.5 | 0.0000 | 0.0351 | 0.0351 | 2–5 | 23 | 23.5 | 0.9787 | 0.1270 | 0.1270 | 3-4 | 0 | 6.5 | 0.0000 | 0.0351 | 0.0351 | 3–6 | 21 | 21.0 | 1.0000 | 0.1135 | 0.1135 | 4-5 | 0 | 8.0 | 0.0000 | 0.0432 | 0.0432 | 4–6 | 0 | 5.0 | 0.0000 | 0.0270 | 0.0270 | 5–7 | 23 | 31.0 | 0.7419 | 0.1676 | 0.1676 | 6-7 | 21 | 26.0 | 0.8077 | 0.1405 | 0.1405 |
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