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Application of Epidemiology Model on Complex Networks in Propagation Dynamics of Airspace Congestion
- Source :
- PLoS ONE, PLoS ONE, Vol 11, Iss 6, p e0157945 (2016)
- Publication Year :
- 2016
- Publisher :
- Public Library of Science (PLoS), 2016.
-
Abstract
- This paper presents a propagation dynamics model for congestion propagation in complex networks of airspace. It investigates the application of an epidemiology model to complex networks by comparing the similarities and differences between congestion propagation and epidemic transmission. The model developed satisfies the constraints of actual motion in airspace, based on the epidemiology model. Exploiting the constraint that the evolution of congestion cluster in the airspace is always dynamic and heterogeneous, the SIR epidemiology model (one of the classical models in epidemic spreading) with logistic increase is applied to congestion propagation and shown to be more accurate in predicting the evolution of congestion peak than the model based on probability, which is common to predict the congestion propagation. Results from sample data show that the model not only predicts accurately the value and time of congestion peak, but also describes accurately the characteristics of congestion propagation. Then, a numerical study is performed in which it is demonstrated that the structure of the networks have different effects on congestion propagation in airspace. It is shown that in regions with severe congestion, the adjustment of dissipation rate is more significant than propagation rate in controlling the propagation of congestion.
- Subjects :
- Computer and Information Sciences
Computer Science::Computer Science and Game Theory
Mathematical optimization
Spatial Epidemiology
Airports
Epidemiology
Computer science
lcsh:Medicine
Transportation
Sample (statistics)
Civil Engineering
Infographics
01 natural sciences
Infectious Disease Epidemiology
0502 economics and business
0103 physical sciences
Medicine and Health Sciences
Computer Science::Networking and Internet Architecture
Humans
Computer Simulation
lcsh:Science
010306 general physics
Peak Values
Numerical Analysis
050210 logistics & transportation
Multidisciplinary
Data Visualization
lcsh:R
ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS
05 social sciences
Models, Theoretical
Complex network
Transportation Infrastructure
Roads
Constraint (information theory)
Infectious Diseases
Transmission (telecommunications)
Signal Processing
Physical Sciences
Engineering and Technology
lcsh:Q
Aviation
Graphs
Algorithms
Network Analysis
Mathematics
Research Article
Subjects
Details
- ISSN :
- 19326203
- Volume :
- 11
- Database :
- OpenAIRE
- Journal :
- PLOS ONE
- Accession number :
- edsair.doi.dedup.....aecb8ad86bb971b32b7f916c79a26422