Education, Science, Technology, Innovation and Life
Open Access
Sign In

Research on the Apron Operation Control System in Chinese Airport

Download as PDF

DOI: 10.23977/jeis.2022.070108 | Downloads: 14 | Views: 642


Du Wuhao 1, Qu Han 2


1 Xi'an Xianyang International Airport, 712000, China, Civil Aviation Flight University of China, 300300, China
2 Xi'an Xianyang International Airport, 712000, China, Civil Aviation University of China, 618307, China

Corresponding Author

Du Wuhao


With the rapid development of air transportation, the scale of airports continues to expand, and many large airports with multiple runways, multiple terminals and multiple aprons have emerged. These large airports generally have the characteristics of complex layout and large ground traffic flow, and their high operating density has become normal. In order to ensure the safety and efficiency of large airports, optimize and improve aircraft apron operation and management, the Civil Aviation Administration has carried out special research and pilot work on apron operation and management methods.


Apron control, Airport operation command


Du Wuhao, Qu Han, Research on the Apron Operation Control System in Chinese Airport. Journal of Electronics and Information Science (2022) Vol. 7: 48-51. DOI:


[1] Chen WT(2015). Analysis on the transfer of apron control. Air Traffic, no. 1, pp: 12-13.
[2] Comprehensive Department of CAAC(2012). The Research report of the invisible apron management mode by air-traffic-controller in tower.
[3] Du Xingyuan, Peng Lixian(2015). Building the Capital Airport only apron control operation command system. Comprehensive Transportation, no.11, pp: 68-72
[4] Luo Jun(2012). Ground command. Civil Aviation, no.1.
[5] Huang, S(2002). Petri Net Simulation Arithmetic of the Shortest Directional Path in Transportation Net.
[6] Journal of Nanjing University of Aeronautics & Astronautics, vol. 34, no.2, pp: 121-125.
[7] Marín, A. and E. Codina(2008). Network design: taxi planning. Annals of Operations Research, vol. 157, no.1, pp: 135-151.
[8] Garc, et al(2005). Optimization of airport ground operations integrating genetic and dynamic flow management algorithms. Ai Communications, vol. 18, no.2, pp: 143-164.

Downloads: 3253
Visits: 172286

Sponsors, Associates, and Links

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.