传播延迟
网络延迟
贝叶斯网络
端到端延迟
计算机科学
调度(生产过程)
延缓
传输延迟
模拟
数学优化
计算机网络
数学
人工智能
心理学
精神科
网络数据包
作者
Weiwei Wu,Cheng‐Lung Wu
标识
DOI:10.1080/03081060.2018.1435453
摘要
An enhanced Delay Propagation Tree model with Bayesian Network (DPT-BN) is developed to model multi-flight delay propagation and delay interdependencies. Using a set of real airline data, results show that flights have non-homogeneous delay propagation effects. The DPT-BN model is used to infer posterior delay profiles with different delay and scheduling scenarios. The major contribution of the DPT-BN model is to demonstrate how the modelling of non-independent and identically distributed delay profiles is more realistic for the observed delay propagation mechanism, and how robust airline scheduling methodologies can benefit from this probability-based delay model.
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