mlsanityData to 7 Oct 2026

Optimizing the Passenger Flow for Airport Security Check

arXiv 2312.05259 ↗First posted 30 Nov 2023cs.AI physics.soc-phcited by 1

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Abstract (arXiv)

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.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 3 of its 16 references that are in the map. First posted on arXiv 30 Nov 2023.

Builds on

3 of 16 references.

References · 3

  1. 2018A high-bias, low-variance introduction to Machine Learning for physicistscited by 108
  2. 2021Model-based Reinforcement Learning for Service Mesh Fault Resiliency in a Web Application-levelcited by 5
  3. 2023Sentiment analysis with adaptive multi-head attention in Transformercited by 5

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