Discover the project by USP and Atech, an Embraer company, that uses artificial intelligence and 4D trajectories to optimize flights and combat delays in Brazil.
Congestion at national airports and the routine of passenger delays have gained a digital solution focused on logistical predictability. Atech, a subsidiary of Embraer, and the Institute of Mathematical and Computer Sciences of the University of São Paulo (USP) have joined forces to integrate a new tool into the country’s Air Traffic Flow Management platform.
According to CanalTech, the goal is to provide early and crucial data so that air traffic controllers can organize Brazilian airspace much more efficiently, significantly reducing the waiting time for air travelers.
The practical benefits of the technology
The implementation of this artificial intelligence tool was designed to address the main operational bottlenecks of civil aviation.
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The researchers expect that the integration of the software will generate immediate improvements for the transportation sector:
- Significant reduction in the occurrence of flight delays on Brazilian runways.
- Greater accuracy and predictability for landing times at terminals.
- Maximum and optimized use of the entire national airspace.
- Preventive route adjustments in real situations of intense traffic.
In addition, the initiative carries an ecological goal of great relevance for sustainability.
By designing more efficient flight paths, the new technology will reduce the time aircraft spend with engines running while waiting for authorization on the ground or performing orbit flights over cities.
The direct result of this optimization will be a decrease in aviation fuel consumption and lower emissions of pollutants into the atmosphere.
How does four-dimensional processing work?
The development of this intelligent system will last ten months and will use large volumes of historical data to understand the behavior of airplanes.
The computer program was designed to overcome the limitations of traditional kinematic calculations through machine learning models.
To achieve this level of precision, the algorithms will be constantly fed by four dynamic variables that operate simultaneously:
- Latitude: The coordinate that indicates the horizontal positioning on the globe.
- Longitude: The information that determines the vertical location on the map.
- Altitude: The actual distance at which the aircraft is in relation to the ground.
- Flight time: The chronological factor that dictates the pace and duration of the journey.
This information will be directly cross-referenced with the pre-established routes by the airlines and the geographical characteristics of each region.
In this way, the software creates a complete preventive panorama even before takeoffs occur.
Partnerships that transform national infrastructure
The agreement signed between the São Paulo university and the Embraer subsidiary reinforces the importance of strategic partnerships for the development of the data ecosystem in Brazil. The project transforms old operational records into real-time guidelines.
Therefore, the refinement of computational algorithms over the ten months of technical cooperation will serve as a basis for safe, economical, and agile air traffic control. The automation of routes will prevent logistical failures that cause losses for companies and stress for users.
Source: CanalTech

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