Holistic Data Approach in Queue Management of High-Density People Flows

Kuvaus

In high-density environments, such as modern airports, efficiently managing people flows is a critical challenge that directly impacts operational performance and passenger experience. This paper views the airport as a smart building with both closed (regulated) and open (passenger-driven) system characteristics. We used LiDAR to track passenger behavior in high- vs. low-density scenarios, aiming to apply AI to forecast queue dynamics and optimize resource allocation. To explore this, we adopted a holistic data approach that integrates structural data from airport systems with empirical data collected through LiDAR technology. By analyzing movement patterns and queue behaviors under varying density conditions, we could compare the predictability and efficiency of linear models with the adaptability and responsiveness of nonlinear AI-driven systems. The findings of this research not only contribute to the academic understanding of queue management but also have practical implications for the development of intelligent queue management strategies that can enhance service delivery and optimize resource allocation in real-world airport environments.

Aikajakso	27 elok. 2025 → 29 elok. 2025
Tapahtuman otsikko	EGPA at 50: Prospects for Public Administration across Europe
Tapahtuman tyyppi	Konferenssi
Sijainti	Glasgow, Iso-BritanniaNäytä kartalla
Vaikuttavuus / laajuus	Kansainvälinen