Delayed Fuel Consumption Optimization System

In this work, we considered the problem of optimizing crowd during aircraft delays before landing. Having examined statistics, can conclude that there was a constant increase in passenger traffic from 2013 to 2018. But also due growth traffic, percentage flights with is increasing. The most accounted for small "popular" airports (In Ukraine, 75 percent all Boryspil and Zhuliany). Although since 2019 number air travel around world has dropped sharply over time, will return previous even continue grow. Also, new now arisen carriers - significant aviation fuel prices. According Mundi Index, December 2021, been price aircraft. This an additional incentive airlines optimize their routes order avoid unnecessary costs. on example flight Boeing 737 Riga Odessa, two parameters were considered, when changing which it possible minimize costs delay. An algorithm developed delays.