摘要
为了减少机场场面滑行冲突,提高机场运行效率,提出了一种基于模糊规则系统的滚动模糊时间窗算法。首先,构建机场滑行时间预测模型;其次,将滚动时间窗和模糊时间窗算法相结合,对滑行路径进行动态优化;最后,结合机场地面滑行数据进行检验。结果表明,地面延误降低了9%~17%,地面冲突减少了10%~18%,说明该方法能够有效提高机场地面运行效率。
To reduce airport ground taxiing conflicts and increase airport operational efficiency,a fuzzy time window algorithm based on a fuzzy rule system was proposed.Firstly,an airport taxiing time prediction model was developed.Secondly,the rolling time window and the fuzzy time window algorithms were merged to dynamically optimize the taxiing route.Finally,the findings were checked in compliance with airport ground taxiing dates.The results show that the ground delay is reduced by 9%~17%and the ground conflict is reduced by 10%~18%,indicating that this method can effectively improve the airport ground operation efficiency.
作者
谢春生
卢菲菲
杨群亭
XIE Chun-sheng;LU Fei-fei;YANG Qun-ting(College of Air Traffic Management,Civil Aviation University of China, Tianjin 300300,China)
出处
《科学技术与工程》
北大核心
2021年第21期9129-9136,共8页
Science Technology and Engineering
基金
国家自然科学基金青年科学基金(61603396)
民航空管研究院开放基金(000032010814)
中央高校基本科研业务费专项(2000340261)
中国民航大学民航空管研究院开放基金(000032010814)。
关键词
不确定性
滑行冲突
模糊时间窗
动态优化
uncertainty
taxiing conflicts
the fuzzy time window
dynamic optimization
