Optimizing the Passenger Flow for Airport Security Check
Wang, Yuxin, Meng, Fanfei, Wang, Xiaotian, Xie, Chaoyu
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Dec-13-2023
- Country:
- Asia (0.69)
- North America > United States
- Illinois > Cook County > Chicago (0.25)
- Genre:
- Research Report > Promising Solution (0.34)
- Industry:
- Transportation
- Air (0.89)
- Infrastructure & Services > Airport (1.00)
- Transportation
- Technology: