In the future,the number of the terminal airspace in China will increase year by year, according to the data, the airspace resources in the terminal area are not proportional to the growth of flight flow, and the flow in the terminal area tends to be saturated. In order to enhance the operation efficiency of terminal area more effectively, the safety of aircraft in its airspace is ensured, the load of controllers and the cost of company operation are reduced,A multi airport terminal area Aircraft Arrival collaborative sequencing model is established from three directions: aircraft delay, controller load and resource balance of each airport. Firstly, the interrelated factors of the terminal area system are obtained through the study of the scope of the terminal area, the main problems of operation and the analysis of the airspace structure; Then the corresponding commonalities, high impact operation system correlation factors, relevant constraints and main solution objectives are obtained through the separate analysis of the routes and intersections of aircraft entering the terminal area; Finally, the model is solved by NSGA-II algorithm combined with simulated annealing. The results show that the solution of the model based on the improved genetic algorithm is compared with the first come first serve model and the unmodified genetic algorithm, the efficiency is improved by 26.3% and 53.2% respectively. It can be seen that the efficiency of aircraft sequencing can be greatly improved through the proposed model.