Safer skies for the flying public

Sep 03, 2008
Dr. Caramanis is working on a mathematical model that combines theories and calculations from probability, statistics, optimization modeling, economics and game theory to be used for a new air traffic control system. Credit: Erin McCarley

University of Texas professor Constantine Caramanis and colleagues at the Massachusetts Institute of Technology (MIT) are working on a air traffic decision-making system that rapidly adapts its flight recommendations without human input based on thousands of changing variables. The computer model Caramanis, lead researcher Cynthia Barnhart, and other colleagues from MIT are developing will monitor weather conditions as well as current airplane locations and probable routes.

"There is currently no unified decision-making framework for air traffic flow optimization," said Dr. Caramanis. "The complicated nature of the process, and the need to make quick adjustments when changes occur, will best be addressed with a mathematical model that combines theories and calculations from probability, statistics, optimization modeling, economics and game theory."

The Federal Aviation Administration (FAA) provides each airline with a set limit of planes that can take off and land during any given timeframe. These slot decisions are based on estimates of what will optimize air traffic flow, taking into consideration imperfect weather predictions, the changing mix of flights airlines wants to move, and other variables for the thousands of flights that crisscross U.S. skies daily. The airlines then choose the flights.

While developing the air traffic optimization model, the researchers will also consider new ways to lessen delays and flight cancellations. For example, they will consider the possibility of allowing airlines to barter for slots when one airline can't get a flight off the ground and others could do so.

"The idea is to have an overarching optimization model that allows balance and flexibility to the decisions being made so that we can successfully exploit whatever slack in the system we can," Caramanis said. "Our model will have autonomous re-configurability which is the ability to adapt to new information on its own."

Source: University of Texas at Austin

Explore further: Custom tailoring robotic exoskeletons that fit to perfection

add to favorites email to friend print save as pdf

Related Stories

Team advances fuel cell car technology

22 hours ago

Dr. Yossef Elabd, professor in the Artie McFerrin Department of Chemical Engineering at Texas A&M University, has developed two fuel cell vehicle platforms for both present day enhancements and future innovation.

Satellites, mathematics and drones take down poachers in Africa

Jan 27, 2015

In 2014, 1,215 rhinos were killed in South Africa for their horns, which end up in Asia as supposed cures for a variety of ailments. An estimated 30,000 African elephants were slaughtered last year for their tusks to be turned into trinkets. The world loses three rhinos a day and an elepha ...

Wind-powered freighters

Jan 06, 2015

To make ships more eco-efficient, engineers have been working with alternative fuels. A Norwegian engineer is currently pursuing a new approach: With VindskipTM, he has designed a cargo ship that is powered ...

Recommended for you

Skin device uses motion to power electronics

12 hours ago

Can a skin patch power wearables? Skin-based generators have become an area of focus among researchers working on how to scavenge muscle motion whereby skin becomes a charge-collector. A detailed report in ...

User comments : 0

Please sign in to add a comment. Registration is free, and takes less than a minute. Read more

Click here to reset your password.
Sign in to get notified via email when new comments are made.