交通运输系统工程与信息 ›› 2020, Vol. 20 ›› Issue (3): 206-211.

• 系统工程理论与方法 • 上一篇    下一篇

航路扇区容量需求的交通流动力学推演与预测

陈丹* 1,尹嘉男2   

  1. 1. 南京工程学院汽车与轨道交通学院,南京 211167;2. 南京航空航天大学民航学院,南京 211106
  • 收稿日期:2019-12-16 修回日期:2020-02-08 出版日期:2020-06-25 发布日期:2020-06-28
  • 作者简介:陈丹(1988-),女,湖北荆州人,讲师.
  • 基金资助:

    国家自然科学基金/National Natural Science Foundation of China(61903185);江苏省自然科学基金/Natural Science Foundation of Jiangsu Province, China(BK20191014);南京工程学院高层次引进人才科研启动基金/ The Scientific Research Foundation for Advanced Scholars of Nanjing Institute of Technology(YKJ201842).

Capacity Demand Prediction for En-route Airspace Based on Network Traffic Flow Dynamic Model

CHEN Dan1, YIN Jia-nan2   

  1. 1. School of Automotive & Rail Transit, Nanjing Institute of Technology, Nanjing 211167, China; 2. College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
  • Received:2019-12-16 Revised:2020-02-08 Online:2020-06-25 Published:2020-06-28

摘要:

为科学应对交通需求的持续增长,合理进行空域规划,从介观层面刻画交通流动态演化过程,提出航路网络交通流演化模型. 以此为基础,将预测得到的城市对间年度交通总需求量推演到整个航路网络中,实现未来交通需求时空分布的中长期预测;构建航路扇区容量需求预测模型,选取华东地区两个相邻航路扇区为研究对象,进行实例验证.结果表明,所提方法能对航路扇区容量需求进行有效预测,未来5 年内两个航路扇区容量需求将分别由50架次/h、 39架次/h上升为70架次/h、45架次/h.

关键词: 航空运输, 容量需求预测, 交通流动力学演化模型, 航路扇区容量, 空域规划

Abstract:

This paper proposes a prediction method for the future capacity demand of en-route sectors, which can be further used to airspace planning as traffic demand continues growing in the future. An en-route network traffic flow dynamic model, characterizing dynamics of traffic flow, is proposed to describe dynamic evolution process of traffic flow in the air route network. Then the yearly city-pair air traffic demand can be propagated into the entire en-route network, and the temporal and spatial traffic demand in the en-route airspace is obtained. On this basis, the future capacity demand of en- route airspace is predicted based on the time and space distribution of traffic demand in the network. A case study of two en- route sectors demonstrates the effectiveness of the proposed prediction framework The result indicates that the capacity demands of the two sectors will increase from 50 aircraft/h and 39 aircraft/h to 70 aircraft/h and 45 aircraft/h in the next 5 years.

Key words: air transportation, capacity demand prediction, evolution model of network traffic flow, capacity of en-route sector, airspace planning

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