Concept of robust climate-friendly flight planning under multiple climate impact estimates

In this study, we address the problem of uncertainty-aware climate-optimized flight planning. The spatiotemporal dependency of aviation-induced non-CO2 climate effects can be incorporated into flight planning tools to generate climate-friendly flight plans. However, estimating climate impact is challenging and associated with high uncertainty. To ensure the effectiveness of such an operational measure, sources of uncertaintyContinue reading “Concept of robust climate-friendly flight planning under multiple climate impact estimates”

Robust 4D climate-optimal aircraft trajectory planning under weather-induced uncertainties: Free-routing airspace

Aircraft Operations Lab’s latest research paper, ‘Robust 4D climate-optimal aircraft trajectory planning under weather-induced uncertainties: Free-routing airspace’ has been published in the Journal of Transportation Research Part D: Transport and Environment. Writen by Abolfazl Simorgh as main author, our research within the ongoing RefMap project introduces an innovative methodology for climate-optimal flight trajectory planning inContinue reading “Robust 4D climate-optimal aircraft trajectory planning under weather-induced uncertainties: Free-routing airspace”

Education Week: How do aircraft contrails affect climate change?

On the occasion of Education Week, the Aircraft Operations Lab UC3M participated in the science fair “Madrid es Ciencia” 2024, which took place at IFEMA. There, we showed children and teenagers the potential of artificial intelligence (AI) in R&D and its potential to help mitigate the climate impact of aviation. How do aircraft contrails affectContinue reading “Education Week: How do aircraft contrails affect climate change?”

We bring science and engineering closer to children with the RefMap project

On Monday, February 26, a scientific outreach activity took place at CEIP Calderón de la Barca in Leganés, led by María Cerezo, a member of the Aircraft Operations Lab UC3M, by Cecilia Hernández, from the Spanish Space Agency (AEE), and by the aerospace engineer Lucía Lacambra. The objective of the activity was to bring scienceContinue reading “We bring science and engineering closer to children with the RefMap project”

Predicting Air Traffic Flow Management hotspots due to weather using Convolutional Neural Networks

A new journal paper on the research line of weather prediction and artificial intelligence has been published in the Aircraft Operations Lab. Authored by Iván Martínez as main writer, the paper “Predicting Air Traffic Flow Management hotspots due to weather using Convolutional Neural Networks” addresses the pressing issue of understanding how convective weather impacts airContinue reading “Predicting Air Traffic Flow Management hotspots due to weather using Convolutional Neural Networks”