Research Article
A New Air Traffic Flow Management User-Driven Prioritisation Process for Low Volume Operator in Constraint: Simulations and Results
Table 3
Potential cost reductions per AU using UDOM (case study 1).
| | AU name | Total flights | Baseline delay | Baseline cost | Optimal cost | Diff. Cost | % Reduc. |
| | HUB | 52 | 1316 | -29283 | -23007 | 6276 | 21.43% | | LC1 | 8 | 248 | -4735 | -3799 | 936 | 19.78% | | LC2 | 12 | 421 | -12471 | -10863 | 1608 | 12.90% | | OA1 | 6 | 227 | -7178 | -5951 | 1227 | 17.09% | | OA2 | 2 | 27 | -425 | -425 | 0 | 0.00% | | OA3 | 2 | 59 | -1131 | -1131 | 0 | 0.00% | | OA4 | 1 | 33 | -811 | -811 | 0 | 0.00% | | OA5 | 3 | 73 | -2632 | -1679 | 953 | 36.21% | | OA6 | 4 | 99 | -1658 | -1536 | 122 | 7.39% | | OA7 | 0 | 0 | 0 | 0 | 0 | 0.00% | | OA8 | 6 | 197 | -4691 | -4136 | 555 | 11.83% |
| | | 96 | 2700 | -65017 | -53339 | | |
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