Modeling Congestion Propagation in Multistage Schedule within an Airport Network
المؤلفون المشاركون
Liu, Hao
Dai, Xiaoxu
Hu, Minghua
Tian, Wen
المصدر
Journal of Advanced Transportation
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-08-15
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
In order to alleviate flight delay it is important to understand how air traffic congestion evolves or propagates.
In this context, this paper focusses on the aggravation of airport congestion by the accumulation of delayed departure flights.
We start by applying a heterogeneous network model that takes congestion connection/degree into consideration to predict departure congestion clusters.
This is on the basis of the fact that, from a micro perspective, the connection between congestion and discrete clusters can be embodied in models.
However, the results show prediction to be of high accuracy and time consuming due to the complexities in capturing the connection in congested flights.
The problem of being highly time consuming is resolved in this paper by improving the models by stages.
Stage partitioning based on the variation of delay clusters is similar to the typical infectious cycle.
For heterogeneous networks the model can describe the congestion propagation and its causes at the different stages of operation.
If the connection between flights is homogeneous, the model can describe a more indicative process or trend of congestion propagation.
In particular, for single source congestion, the simplified multistage models enable short-term prediction to be fast.
Furthermore, for the controllers, the accuracy of prediction using simplified models can be acceptable and the speed on the prediction is significantly increased.
The simplified models can help controllers to understand congestion propagation characteristics at different stages of operation, make a fast and short-term prediction of congestion clusters, and facilitate the formulation of traffic control strategies.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Dai, Xiaoxu& Hu, Minghua& Tian, Wen& Liu, Hao. 2018. Modeling Congestion Propagation in Multistage Schedule within an Airport Network. Journal of Advanced Transportation،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1181571
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Dai, Xiaoxu…[et al.]. Modeling Congestion Propagation in Multistage Schedule within an Airport Network. Journal of Advanced Transportation No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1181571
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Dai, Xiaoxu& Hu, Minghua& Tian, Wen& Liu, Hao. Modeling Congestion Propagation in Multistage Schedule within an Airport Network. Journal of Advanced Transportation. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1181571
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1181571
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