Improving Air Traffic Operations through Data Analysis and Modeling

author: Hamsa Balakrishnan, Department of Aeronautics and Astronautics, Massachusetts Institute of Technology, MIT
produced by: NASA Ames Video and Graphics Branch
published: June 27, 2012,   recorded: October 2011,   views: 3697

See Also:

Download slides icon Download slides: cidu2011_balakrishnan_air_traffic_01.pdf (4.8┬áMB)

Help icon Streaming Video Help

Related Open Educational Resources

Related content

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Lecture popularity: You need to login to cast your vote.


The increase in demand for air traffic over the past several years has been accompanied by increased delays in the National Airspace System (NAS). The main causes of these delays have been weather and traffic volume, especially near airports. In this talk, I will use examples drawn from airport surface and terminal area operations to illustrate how different sources of data, such as surface surveillance systems and convective weather forecasts, can be leveraged to improve the performance of the airspace system. I will demonstrate how the development of predictive models and algorithms based on these data sets can help achieve more robust and environment-friendly air traffic operations.

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

make sure you have javascript enabled or clear this field: