Abstract
In order to punish the pushback operation of airline, the problem of aircraft pushback slot allocation was studied with Stackelberg game theory. First, the concept of dynamic credibility priority was proposed, and a hybrid decision-making process of aircraft pushback slot allocation based on dynamic credibility was designed to determine the aircraft-slot pairs. Second, in order to optimize the aircraft pushback time in given aircraft-slot pairs, the pushback slot allocation under credibility mechanism was described as a Stackelberg game model, then the model was transformed into a bi-level programming model which takes the average gate hold time as the upper level and makes average surface cost of single aircraft experienced by the airlines as the lower level. Third, the improved artificial fish algorithm (IAFSA) was proposed to improve the fish school behavior and selection criteria of optimum solution. Finally, the proposed model and algorithm was applied to the Xinzheng International Airport, and the simulation results confirm that the proposed method has the advantages in aircraft pushback slot allocation.
| Original language | English |
|---|---|
| Pages (from-to) | 211-215 |
| Number of pages | 5 |
| Journal | Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/Journal of Wuhan University of Technology (Transportation Science and Engineering) |
| Volume | 42 |
| Issue number | 2 |
| DOIs | |
| State | Published - 1 Apr 2018 |
| Externally published | Yes |
Keywords
- AFSA
- Aircraft pushback slot allocation
- Dynamic credibility
- Hybrid decision
- Stackelberg game
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