AISOC-PHNov 30, 2023

Optimizing the Passenger Flow for Airport Security Check

arXiv:2312.05259v213 citationsh-index: 5
Originality Synthesis-oriented
AI Analysis

This addresses passenger inconvenience at a specific airport, but it is incremental as it applies existing methods to a new case.

The paper tackled the problem of long waiting times at airport security by optimizing gate setup procedures at Chicago O'Hare International Airport, resulting in a significant reduction in average waiting time to a more manageable level.

Due to the necessary security for the airport and flight, passengers are required to have strict security check before getting aboard. However, there are frequent complaints of wasting huge amount of time while waiting for the security check. This paper presents a potential solution aimed at optimizing gate setup procedures specifically tailored for Chicago OHare International Airport. By referring to queueing theory and performing Monte Carlo simulations, we propose an approach to significantly diminish the average waiting time to a more manageable level. Additionally, our study meticulously examines and identifies the influential factors contributing to this optimization, providing a comprehensive understanding of their impact.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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