New NASA Technology Aims To Save Fuel

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Key Takeaways:

  • NASA is developing and testing a tablet-based "super-app" called Traffic Aware Planner (TAP) to help airlines save fuel and time by optimizing flight routes and altitudes.
  • The TAP app connects to aircraft avionics, processes real-time flight data, weather, and nearby traffic (via ADS-B) to suggest efficient route or altitude changes to the flight crew.
  • Initial tests showed the app could secure shortcuts, saving significant time (e.g., four minutes per leg), indicating a potential for massive fuel and time savings if widely adopted.
  • Virgin America and Alaska Airlines will conduct real-world tests of the TAP app over the next three years to further evaluate its effectiveness.
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NASA is now testing a tablet-based “super-app” that it says will help airlines and other operators to save time and reduce fuel consumption by constantly working to help fine-tune the aircraft’s route and altitude. The Traffic Aware Planner application connects directly to the avionics information hub on the aircraft. “It reads the current position and altitude of the aircraft, its flight route, and other real-time information that defines the plane’s current situation,” said David Wing, project lead at NASA’s Langley Research Center in Hampton, Virginia. “Then it automatically looks for a variety of route and/or altitude changes that could save fuel or flight time and displays those solutions directly to the flight crew.”

TAP also can access weather and airspace data, and can scan the ADS-B signals of nearby air traffic. Wing and his team have tested the software twice aboard a Piaggio P180 Avanti aircraft. “We used it to make a route-change request from air traffic control, which they granted,” said test pilot William Cotton. “We got a shortcut that saved four minutes off the flight time.” Even four minutes of flight time shaved off each leg of an airline trip would result in massive fuel and time savings, NASA said. Virgin America and Alaska Airlines now will use the app in real-world tests over the next three years.

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