Blogs
Aircraft Trajectory Optimizer
Optimizing how airplanes take off is an ideal use case for fusing IoT and predictive analytics.
Optimizing how airplanes take off is an ideal use case for fusing IoT and predictive analytics.
We have needed to be able to predict how long a flight will take to fly its trajectory. Quite often, it has been adequate and possible to use the outputs of one of our predictive analysis tools for this purpose. It predicts both the arrival time (ETA) as well as some intermediate times that we have used in a variety of other places.
Being able to accept machine learning outputs in the decision making process is critically important, especially in Air Traffic decisions.
Mosaic ATM, an innovator in advanced concepts and technology solutions that improve the capacity, efficiency, and safety of aviation operations, was awarded the Air Traffic Control Association (ATCA) Charles E. Varnell Memorial Award for Small Business at the ATCA 58th annual conference that occurred this week.The award recognizes Mosaic ATM’s Read more…
Mosaic ATM is pleased to announce that the Federal Aviation Administration (FAA) has selected Mosaic ATM for an award of the System Engineering 2025 (SE2025) Small Business, Research and Mission Analysis contract. SE2025 is the FAA’s strategic program for transforming the country’s National Airspace System (NAS) through the implementation of Read more…
We built a predictive machine learning model that incorporates weather forecasts and air traffic movements to provide decision support to air traffic controllers.