Modelling delay propagation within an airport network

By Nikolas Pyrgiotis. 2013

312 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Economics and Econometrics, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/648f9cdad2afe3592066eefeb7b80b099ff6d1be

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Bo Zou
2. Nabin Kafle
3. Hamsa Balakrishnan
4. Juan Rebollo

In Economics and Econometrics

1. Bo Zou
2. Nabin Kafle
3. Hamsa Balakrishnan
4. Juan Rebollo

In Electrical and Electronic Engineering

1. Bo Zou
2. Nabin Kafle
3. Hamsa Balakrishnan
4. Juan Rebollo

Citations in the corpus

• Human mobility: Models and applications (2017, unknown): “In the same context, data-driven models have been developed to reproduce the delay propagation patterns in the US [306].”
• Modeling flight delay propagation: A new analytical-econometric approach. (2016, background): “Pyrgiotis et al. (2013) developed a queuing engine to model flight delay formed at an airport.”
• Characterization and prediction of air traffic delays (2014, methodology): “Similarly, the Pyrgiotis et al. (2013) model tries to estimate the extent of air traffic delay propagation using a queuing network model consisting of the OEP-35 airports in the US.”