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A dynamic programming approach for 4D flight route optimization
2014 IEEE International Conference on Big Data (Big Data)
This paper describes our solution for the GE Flight Quest 2 (FQ2) challenge, organized by Kaggle. FQ2 aimed at optimizing flight routes so that the overall cost depending on fuel consumption and delay is as low as possible. The contestants could use several data tables as inputs, including aircraft positions and destinations, weather information and other aviation related data. Their task was to produce a flight plan for each flight, given as a list of (latitude, longitude, altitude, airspeed)doi:10.1109/bigdata.2014.7004427 dblp:conf/bigdataconf/Kiss-TothT14 fatcat:ygidiecufvdrhh6mrfb5zwvfu4