基于蚁群算法的飞机滑行路径优化

Changyou Liu, Yongcheng Wang
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引用次数: 3

摘要

飞行流量和密度的快速增加给繁忙的机场带来了严重的拥堵和潜在的运行风险,因此如何避免机场地面管理系统中飞机滑行冲突是一个急需解决的问题。提出了包含三种冲突约束的飞机滑行路径优化模型,利用蚁群算法求解飞机安全滑行问题。改进蚁群算法采用了等待策略,不同于以往的冲突解决策略。利用成都双流机场的实际数据进行了仿真,并举例说明了冲突解决等待策略的优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Aircraft Taxi Path Optimization Based on Ant Colony Algorithm
The rapid increase of flight flow and density has caused serious congestions and potential operation risks for busy airport, so how to avoid the aircraft taxiing conflicts of airport surface management system is a urgent problem to be solved. In this paper, the aircraft taxi path optimization model with three kinds of conflict constraints is presented to solve the aircraft safe taxiing problems by using the ant colony algorithm. Unlike the re-routing strategy of conflict resolution in our previous works, the waiting strategy is applied in the improved ant colony algorithm. The simulations are made by using the realistic data of Chengdu Shuangliu airport and an illustrative example is given to show the superiority of waiting strategy of conflict resolution.
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