Data-Driven Modeling of Systemic Air Traffic Delay Propagation: An Epidemic Model Approach
المؤلفون المشاركون
Zhang, Xie
Bai, Wei
Li, Shanmei
Xie, Dongfan
Zhang, Zhaoyue
المصدر
Journal of Advanced Transportation
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-08-03
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
To better understand the mechanism of air traffic delay propagation at the system level, an efficient modeling approach based on the epidemic model for delay propagation in airport networks is developed.
The normal release rate (NRR) and average flight delay (AFD) are considered to measure airport delay.
Through fluctuation analysis of the average flight delay based on complex network theory, we find that the long-term dynamic of airport delay is dominated by the propagation factor (PF), which reveals that the long-term dynamic of airport delay should be studied from the perspective of propagation.
An integrated airport-based Susceptible-Infected-Recovered-Susceptible (ASIRS) epidemic model for air traffic delay propagation is developed from the network-level perspective, to create a simulator for reproducing the delay propagation in airport networks.
The evolution of airport delay propagation is obtained by analyzing the phase trajectory of the model.
The simulator is run using the empirical data of China.
The simulation results show that the model can reproduce the evolution of the delay propagation in the long term and its accuracy for predicting the number of delayed airports in the short term is much higher than the probabilistic prediction method.
The model can thus help managers as a tool to effectively predict the temporal and spatial evolution of air traffic delay.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Li, Shanmei& Xie, Dongfan& Zhang, Xie& Zhang, Zhaoyue& Bai, Wei. 2020. Data-Driven Modeling of Systemic Air Traffic Delay Propagation: An Epidemic Model Approach. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1176193
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Li, Shanmei…[et al.]. Data-Driven Modeling of Systemic Air Traffic Delay Propagation: An Epidemic Model Approach. Journal of Advanced Transportation No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1176193
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Li, Shanmei& Xie, Dongfan& Zhang, Xie& Zhang, Zhaoyue& Bai, Wei. Data-Driven Modeling of Systemic Air Traffic Delay Propagation: An Epidemic Model Approach. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1176193
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1176193
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر