INX presents ´Dynamical Model for the Air Transport Network´ at the 23rd European Conference on Modelling and Simulation

This international conference focuses on the state of the art technology in modelling and simulation. Many different themes are covered; ranging from Electrical and Electromechanical engineering to Modelling, Simulation and Control of Technological Processes. The conference took place June 9-12th in Madrid, Spain and was hosted by the Universidad Rey Juan Carlos.

ECMS provides a forum for researchers and practitioners from different fields involved in building innovative simulation systems, simulation and modelling tools and applications on both the research and industrial front. Keynote speakers included Rafael Martí from the Universidad de Valencia, Agustín Maravall from Banco de España, and Kishor Trivedi from Duke University.

The Innaxis publication ¨A Dynamical Model for the Air Transportation Network¨ received great reviews and the team was invited to speak about their findings. Complex Systems researcher Massimiliano Zanin gave the speech about modelling the ATM network in order to withstand and better operate with the forecasted 100% European flight growth.

Dynamical Model for the Air Transport Network
Dynamical Model for the Air Transport Network

Zanin explains how an ATM network can be modelled differently if a scheduled networks approach was used. By including the time factor, secondary nodes representing the duration of the flight is added thus including more information and giving capability of defining metrics such as efficiency, vulnerability, sensitivity to noise, and more.

Evolving the air transport network by increasing the number of nodes and connections,  the network went from a ´Random Structure´ model to a ´Hub and Spoke´ in that if the fitness is high, the network becomes more efficient with the addition of a Hub.

Evolving a network

The presentation concludes with a realistic algorithm for air network growth. A PDF of the presentation can be accessed here.

Complexity Science, Modelling