Runway capacity evaluation based on multi-agent modeling and Monte Carlo simulation

The dynamic characteristics of aircraft formation and the characteristics of airport organization mode, control mode, and flight mode were analyzed, and the runway capacity calculation model and runway operation model were established. With semi-hybrid and hybrid operation modes for intermediate-distance parallel dual runway as typical scenarios, the runway capacities under different operation modes were calculated by comprehensively using multi-agent modeling and Monte Carlo simulation. An orthogonal simulation test was designed to investigate the relationship between runway capacity and various factors including operation mode, takeoff and landing ratio, departure interval, aircraft type ratio, formation number, and environmental conditions. Simulation results indicate that compared with the semi-hybrid operation mode, the hybrid operation mode increases takeoff capacity by an average of 55.2%, decreases landing capacity by 6.2%, and enhances overall capacity by 28.5%. As the departure interval increases from 60 s to 180 s, the total capacity of the semi-hybrid operation mode decreases by 27.2%, and the hybrid operation mode decreases by 24.9%. As the aircraft type ratio increases from 0 to 1.0, the total capacity of the semi-hybrid operation mode decreases by 29.7%, and the hybrid operation mode decreases by 29.2%. As the average formation number rises from 1.9 to 3.2, the total capacity of the semi-hybrid operation mode increases by 9.8%, and the hybrid operation mode increases by 7.1%. Therefore, the performance of the hybrid operation mode is better than the semi-hybrid operation mode, the runway capacity is closely related to the task dispatch mode, and the runway operation mode needs to be reasonably selected according to the task dispatch mode. © 2023 Chang'an University. All rights reserved.