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SMARTS solution for airspace design and configuration

Paper ID

Conference

SESAR Innovation Days

Year

2025

Theme

Airspace management & design

Project Name

SESAR 3 ER1 project SMARTS

Keywords:

airspace design; dynamic airspace configuration; optimization; resilience; machine learning; validation

Authors

Alberto Blanch Romero, Tomás De Urrengoechea, Daniel Delahaye, Andréas Guitart, M. Florencia Lema-Esposto, Go Nam Lui, Guglielmo Lulli, Rasoul Sanaei and Julian Solzer

DOI

https://doi.org/10.61009/SID.2025.1.55

Project Number

101114686

Abstract

This paper presents the SMARTS solution for airspace design and dynamic configuration in European air traffic man- agement. The approach addresses the critical need for increased airspace capacity through intelligent sector management using artificial intelligence and optimization algorithms. The SMARTS solution comprises three main components: Basic Volume De- sign; Sector Design employing mixed integer linear program- ming for optimal sector boundaries; and Dynamic Configuration using graph-based optimization for near real-time configuration planning. Validation was conducted at Madrid Area Control Center (ACC) using 2023 traffic data. The results show that the SMARTS solution successfully balances air traffic controller workload, improves capacity utilization, and introduces a local resilience KPI for monitoring robustness toward a reliable framework for future European airspace architecture. The system delivers operationally viable configurations that align with real-world air traffic management needs while maintaining flexibility for various operational scenarios.