In order to improve the operational efficiency of busy airport field, with the goal of optimizing aircraft taxiing path and reducing aircraft taxiing delay time, an airport taxiing path optimization model is constructed by analyzing the operational dynamics of taxiway, and the algorithm for solving the taxiing path optimization model based on situational awareness is proposed. The results of the algorithm show that compared with the traditional first-come-first-served optimization algorithm, the total operating time of aircraft in the whole taxiing process decreases by 5%.It can be seen that the situational awareness-based glide path optimization algorithm can improve the overall operational efficiency of the glide path.