信息和相对模型用于分析气道网络的结构稳定性
Keyan Zhao1, Yanhua Li1, Guangjian Ren2
1School of Traffic and Transportation, Beijing Jiaotong University, Beijing, 100044, China.
Scientific reports
|November 11, 2025
概括
本研究引入了一种顺序相对度 (ODRE) 模型来评估气道网络 (AIN) 的稳定性. ODRE模型提供了一种更可靠和适用的方法来评估AIN对各种网络攻击的脆弱性.
科学领域:
- 网络科学 网络科学
- 运输工程 运输工程
- 信息理论 信息理论
背景情况:
- 气道网络 (AIN) 对航空运输至关重要,直接影响飞行运营,安全和效率.
- 优化AIN结构对于减轻航班延误和提高整体航空运输可靠性至关重要.
- 评估网络稳定性的现有方法在各种攻击场景中可能缺乏精度.
研究的目的:
- 开发和验证一种用于评估气道网络结构稳固性的新型模型.
- 评估中国AIN及其子网络在各种模拟网络攻击策略下的脆弱性.
- 将拟议模型的有效性与传统网络分析方法进行比较.
主要方法:
- 建立基于信息理论的顺序相对度 (ODRE) 模型.
- 使用中国航空网 (包括北京,上海和广州的子网) 的实际数据构建简化的AIN模型.
- 在AIN模型中应用多种攻击策略 (随机,程度,间距,接近,自向量,博纳奇中心性).
- 在不同攻击场景下使用ODRE模型对AIN全面稳定性的评估.
主要成果:
- 通过ODRE模型,可靠性和适用性在评估AIN强度方面显著提高.
- 与传统方法相比,该模型提供了更精确的AIN漏洞评估.
- 网络效率的一致性和稳定性得到维持,同时评估攻击下的稳定性.
结论:
- 拟议的ODRE模型为分析气道网络结构特征和脆弱性提供了一种优越的方法.
- 这种方法在各种攻击条件下提供了对网络动态和结构性质的更深入的了解.
- ODRE模型增强了航空运输系统的安全性和可靠性评估.
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