ACTA AERONAUTICAET ASTRONAUTICA SINICA >
Characteristics analysis of departure traffic flow congestion in mega-airport surface
Received date: 2015-06-19
Revised date: 2015-10-18
Online published: 2015-10-21
Supported by
National Natural Science Foundation of China (61104159);Natural Science Foundation of Jiangsu Province (BK20131366)
Expounding traffic flow spatial-temporal evolution laws on mega-airport surface and revealing departure traffic flow congestion mechanism are the significant basis of airport surface traffic flow management and control. By adopting cell transmission model, normal taxiway cells, apron cells and convergent cells operation model were established. Based on the NetLogo's system dynamics simulation platform, Guangzhou Baiyun International Airport surface operation was macroscopically simulated. By comparing the actual and simulation data, the proposed model was validated to be accurate and efficient. Simulation results show that departure traffic flow contains four basic phases:free, semi-stable, congestion accumulating and break-down, and adjusting pushback rate according to the arrival rate will be a critical method in controlling departure demand and alleviate traffic congestion. This research achievement may provide a theoretical basis and decision reference for intelligent traffic control in mega-airport.
YANG Lei , HU Minghua , YIN Suwan , ZHANG Honghai . Characteristics analysis of departure traffic flow congestion in mega-airport surface[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2016 , 37(6) : 1921 -1930 . DOI: 10.7527/S1000-6893.2015.0280
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