Takeoff Performance Algorithms Analysis of EFB Based on iOS

Abstract

The Electronic Flight Bag (EFB) provides pilots real-time or existing data by converting the papery documents into electronic books. Consequently the efficiency and the security have been improved, which reduce pilots’ ground communication time and the paperweight. As a key factor of what influences the takeoff process, the takeoff performance undoubtedly has been an essential research task of EFB, while many factors may affect the takeoff performance, such as flap position, anti-ice and the external temperature. By means of interpolation, this paper integrates those factors and gets Maximum Take-off Weight (TOW), Take-off Decision Speed (V1), Take-off Rotation Speed (VR) and Take-off Safety Speed (V2). And then implants the result into the EFB based on the iOS.