Helping Reduce Environmental Impact of Aviation with Machine Learning (Papers Track) Best Paper Award
Ashish Kapoor (Microsoft)
Commercial aviation is one of the biggest contributors towards climate change. We propose to reduce environmental impact of aviation by considering solutions that would reduce the flight time. Specifically, we first consider improving winds aloft forecast so that flight planners could use better information to find routes that are efficient. Secondly, we propose an aircraft routing method that seeks to find the fastest route to the destination by considering uncertainty in the wind forecasts and then optimally trading-off between exploration and exploitation. Both these ideas were previously published in  and  and contain further technical details.
Recorded Talk (direct link)