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An Investigation of Traffic and Optimization Opportunities of a Passenger Service System in JFK Airport

Air traffic worldwide is increasing more and more in recent years. In 2017, a total of 4,1 billion passengers were carried. Never in history such a high number been achieved. Especially the rising population of socalled lowcost airlines have caused a veritable hype. Not only does this place an increasing burden on the environment, it also poses difficult tasks for the world’s airports. This crowd of people first has to be processed without causing a complete chaos. This need to think of ways to overcome this challenge has led us to explore socalled automated border systems. These service systems aim to accelerate immigration control and thus prevent longer waiting times. We describe the functioning as well as the advantages and disadvantages of the existing service systems. We collected, presented and analyzed of the data that were used for modeling. Main part of this paper is the creation of simple mathematical models. Both a single server and multi-server models are created at three different times. Subsequently, these outcomes are compared to see which one was most effective.