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基于改进GA的滑行道路径冲突解脱研究
引用本文:黄邦菊,史继龙.基于改进GA的滑行道路径冲突解脱研究[J].科技和产业,2022,22(10):341-345.
作者姓名:黄邦菊  史继龙
作者单位:中国民用航空飞行学院 空中交通管理学院,四川 广汉 618307
摘    要:为解决多航空器在飞行区场面活动时存在的冲突问题,以优化后的滑行路径距离作为目标代价函数,提出一种滑动时间窗与GA相融合的冲突解脱模型。首先在滑行规则、安全间隔与滑行道实际条件等约束条件下构建场面滑行路径模型;其次提出基于滑动时间窗与GA融合的求解算法;最后选取成都双流机场为例进行仿真,并与传统GA算法进行对比分析,证明基于改进GA的算法模型在飞行区冲突解脱上更具有鲁棒性与自适应性。

关 键 词:滑行道  路径规划  遗传算法  滑动时间窗  冲突解脱

Study on Collision Relief of Taxiway Path Based on Improved GA
Abstract:In order to solve the conflict problem of multi-aircraft in the flight area scene activity, a collision relief model for the fusion of sliding time window and GA is proposed by taking the optimized taxi path distance as the target cost function. Firstly, the sliding path model of the scene is constructed under the constraints of taxi rules, safety intervals and taxiway conditions.Secondly, the solution algorithm based on sliding time window and GA fusion is proposed. Finally, Chengdu Shuangliu Airport is selected as an example for simulation, and is compared with the traditional GA algorithm, which proves that the algorithm model based on improved GA is more robust and adaptive in the liberation of flight zone conflicts.
Keywords:taxiway  path planning  genetic algorithm  sliding time window  conflict relief
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