FLIGHT DELAY PREDICTION BASED ON AVIATION BIG DATA AND MACHINE LEARNING









Abstract

Flight Planning is one of the demanding situations in commercial world, which faces many unsure conditions. There is such condition in delay occurrence, which stems from various factors and imposes considerable costs on airlines, operators, and travellers. Delays in departure can occur due to bad weather conditions, seasonal and holiday demands, airline policies, technical problems such as problems with airport facilities, baggage handling and mechanical equipment, and the accumulation of delays from previous flights. In This flight delay prediction system based on the Aviation Data, which can result in delays. The system considers the of various parameters. Random Forest (RF), K-Nearest Neighbour (KNN) and Support Vector Machine (SVM) are the algorithm used in this system


Modules


Algorithms


Software And Hardware