The problem of forecasting the service performance of airport pavement is studied. Various parameters influencing the service performance of airport pavement are analyzed, the genetic algorithm and BP neural network are combined to forecast the service performance of airport pavement. The genetic algorithm overall optimization is used to optimize the weight and threshold of neural network, then, LM optimization algorithm is used to increase the training speed and make the training avoid getting into local minimum. The neural network is trained with the data of the past years, and the model of neural network is used to forecast the service performance of airport pavement. The result shows that this method is precise enough to be applied to the engineering practice.