系统仿真学报 ›› 2022, Vol. 34 ›› Issue (6): 1196-1207.doi: 10.16182/j.issn1004731x.joss.20-1057

• 仿真建模理论与方法 • 上一篇    下一篇

基于STN的机场航班过站保障时间协同规划建模

陈斌1,2(), 刘悦1,2, 杨亚磊1,2   

  1. 1.中国民航大学 电子信息与自动化学院,天津 300300
    2.中国民航大学 航空地面特种设备研究基地,天津 300300
  • 收稿日期:2020-12-30 修回日期:2021-03-02 出版日期:2022-06-30 发布日期:2022-06-16
  • 作者简介:陈斌(1974-),男,博士,副研究员,研究方向为机场地面保障技术与控制。E-mail:chenbindavid@163.com
  • 基金资助:
    国家自然科学基金委员会-中国民航局民航联合研究基金(U1933107)

Airport Flight Transit Support Time Collaborative Planning Modeling Based on STN

Bin Chen1,2(), Yue Liu1,2, Yalei Yang1,2   

  1. 1.College of Electronic Information and Automation, Civil Aviation University of China, Tianjin 300300, China
    2.Research Base of Aviation Ground Special Equipment, Civil Aviation University of China, Tianjin 300300, China
  • Received:2020-12-30 Revised:2021-03-02 Online:2022-06-30 Published:2022-06-16

摘要:

资源受限下的机场航班过站保障时间协同规划是提高机场运行效率的有效方法之一。针对机场实际,建立基于简单时间网络(simple temporal network,STN)描述的航班过站保障时间规划模型。采用时间解耦方法、最短路径矩阵简化和求解考虑资源的STN任务模型距离图,得到面向机场考虑资源的航班过站保障时间协同规划方法。仿真和实际数据对比结果表明:考虑资源的STN任务模型起到优化机场航班过站保障时间协同规划,减少航班过站保障时间资源占用的作用,为航班过站保障时间协同规划提供新的研究思路。

关键词: 简单时间网络, 航班保障, 保障时间, 协同规划

Abstract:

Under the constraint of resources, the collaborative planning of airport flight transit support time is one of the effective methods to improve airport operation efficiency. Based on Simple Temporal Network (STN), a planning model of flight transit support time is established. Based on the temporal decoupling, the shortest path matrix simplification, and the distance graph solving of STN task model considering resources, the method of collaborative planning of flight transit support time for airport considering resources is obtained. The comparison results of the simulation and the actual data show that STN task model considering resources can optimize the airport flight transit support time collaborative planning and reduce the resource consumption of flight transit support time. It also provides a new research idea for the collaborative planning of flight transit support time.

Key words: simple temporal network, flight assurance, support time, collaborative planning

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