Title :
Airport terminal-approach safety and capacity analysis using an agent-based model
Author :
Xie, Yue ; Shortle, John ; Donohue, George
Author_Institution :
Dept. of Syst. Eng. & Oper. Res., George Mason Univ., Fairfax, VA, USA
Abstract :
The consistent growth of air traffic demand is causing the operational volumes at hub airports to approach their maximum capacities. With this growth, delays are increasing, and safety is becoming a more crucial problem. The terminal approaching and landing phases are especially important since the airspace is more crowded and operational procedures are more complicated compared with the en route phase. We have developed an agent-based stochastic simulation model which is useful to analyze the relationship among airport arrival capacity, delay, and safety. We first present a simplified queue model to demonstrate key ideas. Then, we give a detailed agent-based model that is calibrated to Hartsfield Atlanta International Airport. We use the model to evaluate several operational scenarios and examine the trade-offs between system capacity and safety.
Keywords :
aerospace computing; air safety; air traffic; airports; delays; knowledge based systems; operations research; Hartsfield Atlanta International Airport; agent-based stochastic simulation model; air traffic demand; airport arrival capacity; airport arrival delay; airport arrival safety; airport terminal capacity analysis; airport terminal-approach safety; en route phase; hub airports; operational procedures; terminal approaching phase; terminal landing phase; Aerospace control; Aerospace engineering; Air safety; Air traffic control; Aircraft; Airports; Gaussian distribution; Leg; Predictive models; Systems engineering and theory;
Conference_Titel :
Simulation Conference, 2004. Proceedings of the 2004 Winter
Print_ISBN :
0-7803-8786-4
DOI :
10.1109/WSC.2004.1371471