This newly forming project is using advances in AI to study airline delays. The situation for most major US carriers is that they have highly optimized the operation of their airline. But there are still two sources of delays that are out of the control of the airline route optimization. The first is obviously weather and the second is National Airspace System delays. In some cases the NAS delays are also coded as weather delays. Using data for all airlines from 1989 to 2021, this project is exploring the geographic and temporal location of these delays. Using artificial intelligence to better analyze the data, it is hoped that new strategies for minimizing the impact of these delays will enable more efficient and profitable airline operation with lower emissions. Here is one of the latest examples from this massive data set.
Using data for all airlines from 1989-2021, this plot shows the average delay in minutes in June (averaged over 32 years), where the delay could be for any reason. Source of data is the Bureau of Transportation Statistics, and their excellent web site can be found here: https://www.bts.gov/.
