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

CHEN Zheng-lei; CHONG Xiao-lei; LIU Chao-jia; SHAO bin; GENG Hao; ZHANG Jia-jia; XU Ji-hui

doi:10.19818/j.cnki.1671-1637.2023.06.016

Volume 23 Issue 6

Dec. 2023

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CHEN Zheng-lei, CHONG Xiao-lei, LIU Chao-jia, SHAO bin, GENG Hao, ZHANG Jia-jia, XU Ji-hui. Runway capacity evaluation based on multi-agent modeling and Monte Carlo simulation[J]. Journal of Traffic and Transportation Engineering, 2023, 23(6): 244-256. doi: 10.19818/j.cnki.1671-1637.2023.06.016

Citation:

CHEN Zheng-lei, CHONG Xiao-lei, LIU Chao-jia, SHAO bin, GENG Hao, ZHANG Jia-jia, XU Ji-hui. Runway capacity evaluation based on multi-agent modeling and Monte Carlo simulation[J]. Journal of Traffic and Transportation Engineering, 2023, 23(6): 244-256. doi: 10.19818/j.cnki.1671-1637.2023.06.016

Citation:

CHEN Zheng-lei, CHONG Xiao-lei, LIU Chao-jia, SHAO bin, GENG Hao, ZHANG Jia-jia, XU Ji-hui. Runway capacity evaluation based on multi-agent modeling and Monte Carlo simulation[J]. Journal of Traffic and Transportation Engineering, 2023, 23(6): 244-256. doi: 10.19818/j.cnki.1671-1637.2023.06.016

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

doi: 10.19818/j.cnki.1671-1637.2023.06.016

1.
School of Aeronautical Engineering, Air Force Engineering University, Xi'an 710038, Shaanxi, China
2.
Institute of Engineering Design, Air Force Research Institute, Beijing 100071, China

Funds:

National Natural Science Foundation of China 52074309

More Information

Author Bio:
CHEN Zheng-lei(1996-), male, doctoral student, czl1126988739@163.com

CHONG Xiao-lei(1973-), male, professor, PhD, kgy_cxl@163.com
Received Date: 2023-07-13
Publish Date: 2023-12-25

Abstract

Abstract

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.
- airport planning,
- runway capacity,
- AnyLogic simulation,
- multi-agent modeling,
- Monte Carlo simulation,
- intermediate-distance parallel dual runway

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References

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

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