资源受限条件下的离港航班停机位分配优化模型

停机位作为机场的重要资源，优化停机位分配策略，实现更优的航班运行效率和旅客满意度已成为研究的重中之重。针对研究牵引车、管制员等资源受限条件下的停机位分配问题，首先以航空器延误时间最少、靠桥数最大为目标，并将靠桥数最大转化为不靠桥数最小，建立停机位分配优化模型，采用启发式算法进行求解；其次搭建场面仿真模型以验证算法的可靠性；最后通过北京大兴国际机场进行实例验证。结果表明：相较于机场实际运行情况，本文所建立的停机位分配优化模型使航空器延误降低25.5%、靠桥率提升8.8%，本文所提出的停机位分配策略可以在资源受限条件下实现场面延误和靠桥率的优化。

Optimal model of parking space allocation under resource-constrained conditions

In order to study the problem of parking space allocation under resource-constrained conditions such as tractors and controllers, first, an optimization model for parking space allocation with the least aircraft delay time and the largest bridge rate as the multi-objective is constructed. and use heuristic algorithm to solve; secondly, a scene simulation model is built to verify the reliability of the algorithm. Finally, an example was verified through Beijing Daxing International Airport. The results show that compared with the actual operation of the airport, the parking space allocation optimization model established in this paper has reduced aircraft delay time by 25.5% and increased bridge rate by 8.8%. It shows that the parking space allocation strategy proposed in this paper can realize the optimization of surface delay and bridge ratio under the condition of limited resources.