A prediction model of the coefficient of friction for runway using artificial neural network

Runway surface conditions are fundamental to ensure safety during landing and takeoff operations of aircrafts. In this manner, airport operators required monitor the coefficient friction macrotexture runways maintain its plan maintenance rehabilitation strategies when appropriate, since both these parameters get deteriorated with time. Thus, assist aerodrome regulatory agencies in decision-making process for conservation monitoring airfield pavements, study aimed develop a prediction model runway using Artificial Neural Network. Our results were satisfactory may contribute context Airport Pavement Management System.