Helping Reduce Environmental Impact of Aviation with Machine Learning
英文摘要:
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.
机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。