Asphalt concrete materials are often used in the construction of pavement layers. The complex modulus is one of the fundamental properties in mechanistic-empirical pavement design and analysis that can describe the mechanical response of this composite material. In the present study, a new complex modulus predictive model of asphalt concrete, called 9P50F has been established. The main objective of the paper is to develop a predictive empirical equation for the Moroccan pavement design guide based on several complex modulus tests and an existing database of asphalt concrete formulations. The proposed model equation depends on the results of classical tests that related to the most significant formulation parameters including, stiffening effect and proportion of mineral fillers, maximum aggregate size, ratio of coarse aggregates to sand, penetration point, ratio of fillers to asphalt binder, apparent density, softening point, and binder richness modulus. As a result, the developed model provides a higher correlation coefficient (R2 = 0.873). Furthermore, based on the complex modulus measurements of twenty-one asphalt concrete samples, by using a 2-point bending device, the goodness of fit measure for the E* predictions indicates a very good accuracy.