With the increase of needs for controlling the passengers that use different modes of transport such as airports, ports, trains, or future ones as hyper loops, security facilities are a key element to be optimized. In the current study, we present an analysis of a security area within an airport with particular restrictions. To improve the capacity, different categories and policies were devised for processing passengers and we propose to adapt the system to these categories and policies. The results indicated that, by designing a proper category in combination with novel technology, it is possible to increase the capacity to values of 2 digits (in terms of passengers/day). As a proof-of-concept, we use a case study of an area within an airport in Mexico based on data and layout of early 2019.
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COVID-19 arrived in the world suddenly and unexpectedly. It caused major disruptions at economical, operational and other levels. In the case of flight traffic, the operations were reduced to 10% of their original levels. The question after COVID-19 is how to restart the operations and how to keep the balance between safety and capacity. In this paper we present an analysis using simulation techniques for understanding the impact in a security area of an important airport in Latin America; the airport of Mexico City. The results allow to illustrate the potential congestion given by the implemented covid-19 restriction, even when the traffic recovers only by 25% of the pre-covid-19 traffic. The congestion can be mitigated by applying some layout changes (snake queue vs parallel queue) and when more capacity is added to the system (extra security line). The results will raise situational awareness for airport stakeholders when implementing the actions suggested by different international institutions like WHO, IATA or ICAO.
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