Bottleneck Analysis in JFK Using Discrete Event . Simulation: An Airport Queuing Model

被引:3
|
作者
Lai, Joseph [1 ]
Che, Leslie [1 ]
Kashef, Rasha [2 ]
机构
[1] Western Univ, IVEY Business Sch, London, ON, Canada
[2] Ryerson Univ, Elect Comp & Biomed Engn, Ryerson Univeristy, ON, Canada
关键词
Queuing Theory; Discrete Event Simulation; JFK; Optimization; Smart Air Transportation;
D O I
10.1109/ISC253183.2021.9562823
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
With the current growth of the number of airline passengers using JFK airport on everyday basis, massive delays occur throughout the system, which causes a significant bottleneck. This paper presents a discrete simulation model of the aircraft arrival and departure process at JFK airport. This paper's main objective is to identify where the bottleneck lies and provide recommendations to ease the congestion within the airport. The simulation model includes the calculations of taxi-in and taxi-out time distributions and the development of a conceptual queuing model of the runway system. The simulation model is trained using data from 2015 from the US Customs and Border Protection, the United States Department of Transportation, and the JFK airport. The results show that the bottleneck is caused by congestion during taxi out, waiting for take off. It is recommended that JFK utilizes optimization methods to minimize flight delays.
引用
收藏
页数:7
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