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[1]王兴隆,尹昊.基于介度熵的机场飞行区关键冲突点识别*[J].中国安全生产科学技术,2022,18(9):236-242.[doi:10.11731/j.issn.1673-193x.2022.09.034]
　WANG Xinglong,YIN Hao.Identification of key conflict points in airport airfield area based on betweenness and degree entropy[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2022,18(9):236-242.[doi:10.11731/j.issn.1673-193x.2022.09.034]
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基于介度熵的机场飞行区关键冲突点识别*
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
18
期数:
2022年9期
页码:
236-242
栏目:
职业安全卫生管理与技术
出版日期:
2022-09-30

文章信息/Info

Title:
Identification of key conflict points in airport airfield area based on betweenness and degree entropy
文章编号:
1673-193X(2022)-09-0236-07
作者:
王兴隆; 尹昊
（中国民航大学 民航飞联网重点实验室，天津 300300）
Author(s):
WANG Xinglong;  YIN Hao
(Key Laboratory of Internet of Aircrafts,Civil Aviation University of China,Tianjin 300300,China)
关键词:
介度熵; 飞行区; 关键冲突点; 冲突识别; 复杂网络
Keywords:
betweenness and degree entropy; airfield area;  key conflict point;  conflict identification;  complex network
分类号:
X949
DOI:
10.11731/j.issn.1673-193x.2022.09.034
文献标志码:
A
摘要:
为了探究机场航班流量增大和作业车辆增多而导致机场飞行区内频繁出现活动目标冲突情况，提出1种基于介度熵的机场飞行区关键冲突点识别方法。首先，以飞行区内活动目标为节点，活动目标之间的潜在冲突关系为连边，建立飞行区交通态势网络模型。然后，采用介度熵法评价交通态势网络中各活动目标的冲突指数，得到冲突指数最大的活动目标即关键冲突点。最后，将介度熵法与度中心性、介数中心性和邻接信息熵3种识别方法进行对比，并以西安咸阳国际机场为例进行验证。研究结果表明：识别飞行区关键冲突点时，介度熵法较其他3种方法更有效。通过建立飞行区交通态势网络，采用介度熵法识别飞行区关键冲突点并进行调配，一定程度上可以有效预防冲突发生，保障飞行区运行安全。
Abstract:
In order to explore the problem of frequent movingtargetconflictin the airport airfield area caused by the increase of airport flight flow and more operating vehicles,anidentification methodof key conflict points in the airport airfield area based on the betweenness and degree entropy was proposed.Firstly,taking the movingtarget in the airfield area as the nodes and the potential conflict relationship between themovingtarget as the edges,amodel oftraffic situationnetworkin the airfield areawas established.Then,the betweenness and degree entropy method was used to evaluate the conflict index of each movingtarget in the traffic situation network,and themovingtarget with the largest conflict index,namely the key conflict point,was obtained.Finally,the results of the betweenness and degree entropy method were comparedwith those of three identification methods,including the degree centrality,betweenness centrality and adjacency information entropy,and the verification was conducted by using an example of Xi’an Xianyang International Airport.The results showed that the betweenness and degree entropy method was more effective than the other three methods in identifying the key conflict points in the airfield area.By establishing the traffic situation network of airfield areaand using the betweenness and degree entropy method to identify and allocate the key conflict points in the airfield area,the conflict can be effectively prevented to a certain extent,and the operation safety of the airfield area can be guaranteed.

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备注/Memo

备注/Memo:
收稿日期： 2022-05-06
* 基金项目： 国家重点研发计划项目（2020YFB1600101）；国家自然科学基金项目（62173332，U2133207）；天津市科技计划项目（21JCYBJC00700）
作者简介： 王兴隆，硕士，研究员，主要研究方向为飞行区活动态势精确感知与风险识别。
通信作者： 尹昊，硕士研究生，主要研究方向为飞行区风险识别。
更新日期/Last Update: 2022-10-14