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Optimal Pushback Time with Existing Uncertainties at Busy Airport
| Content Provider | Semantic Scholar |
|---|---|
| Author | Mori, Ryota |
| Copyright Year | 2014 |
| Abstract | Pushback time management of departure aircraft is a promising method to reduce the fuel burn during airport ground operations. Departure aircraft can wait at the gate with engines off instead of waiting in a long queue before the runway. However, this management can potentially delay the take-off time, which in turn reduces the capacity and passenger satisfaction. Therefore, pushback time management strategy should be applied as long as the imposed negative effect is sufficiently small. This paper proposes an optimal pushback time assignment strategy by considering reduction of both fuel burn and delay. The optimal strategy is obtained via Monte Carlo reinforcement learning, and it provides better performance than the manual tuning. In addition, the interpretation of the obtained strategy provides further knowledge about airport’s traffic. The proposed method can also potentially provide better rule-based strategy. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.icas.org/ICAS_ARCHIVE/ICAS2014/data/papers/2014_0032_paper.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
