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Article

Optimizing Indoor Airport Navigation with Advanced Visible Light Communication Systems †

by
Manuela Vieira
1,2,3,*,
Manuel Augusto Vieira
1,2,
Gonçalo Galvão
1,
Paula Louro
1,2,
Pedro Vieira
1,4 and
Alessandro Fantoni
1,2
1
DEETC-ISEL/IPL, R. Conselheiro Emídio Navarro, 1949-014 Lisbon, Portugal
2
UNINOVA-CTS and LASI, Quinta da Torre, Monte da Caparica, 2829-516 Caparica, Portugal
3
NOVA School of Science and Technology, Quinta da Torre, Monte da Caparica, 2829-516 Caparica, Portugal
4
Instituto de Telecomunicações, Instituto Superior Técnico, 1049-001 Lisbon, Portugal
*
Author to whom correspondence should be addressed.
The paper is an extended and polished version of the one presented at SPIE Photonics Europe 2024 (M. Vieira, M. A. Vieira, G. Galvão, P. Louro, P. Vieira, A. Fantoni, “Enhancing Indoor Navigation in Multi-Terminal Airports through Visible Light Communication Signals,” presented as an oral presentation, Proc. SPIE 12999, Optical Sensing and Detection VIII, 129991N (20 June 2024); https://doi.org/10.1117/12.3016824.
Sensors 2024, 24(16), 5445; https://doi.org/10.3390/s24165445
Submission received: 26 June 2024 / Revised: 7 August 2024 / Accepted: 20 August 2024 / Published: 22 August 2024
(This article belongs to the Special Issue Intelligent Sensors and Sensing Technologies in Vehicle Networks)

Abstract

This study presents a novel approach to enhancing indoor navigation in crowded multi-terminal airports using visible light communication (VLC) technology. By leveraging existing luminaires as transmission points, encoded messages are conveyed through modulated light signals to provide location-specific guidance. The objectives are to facilitate navigation, optimize routes, and improve system performance through Edge/Fog integration. The methodology includes the use of tetrachromatic LED-equipped luminaires with On–Off Keying (OOK) modulation and a mesh cellular hybrid structure. Detailed airport modeling and user analysis (pedestrians and luggage/passenger carriers) equipped with PINPIN optical sensors are conducted. A VLC-specific communication protocol with coding and decoding techniques ensures reliable data transmission, while wayfinding algorithms offer real-time guidance. The results show effective data transmission and localization, enabling self-localization, travel direction inference, and route optimization. Agent-based simulations demonstrate improved traffic control, with analyses of user halting and average speed. This approach provides reliable indoor navigation independent of GPS signals, enhancing accessibility and convenience for airport users. The integration of VLC with Edge/Fog architecture ensures efficient movement through complex airport layouts.
Keywords: visible light communication (VLC); wayfinding; indoor navigation; user behavior; agent-based simulator; edge/fog architecture visible light communication (VLC); wayfinding; indoor navigation; user behavior; agent-based simulator; edge/fog architecture

Share and Cite

MDPI and ACS Style

Vieira, M.; Vieira, M.A.; Galvão, G.; Louro, P.; Vieira, P.; Fantoni, A. Optimizing Indoor Airport Navigation with Advanced Visible Light Communication Systems. Sensors 2024, 24, 5445. https://doi.org/10.3390/s24165445

AMA Style

Vieira M, Vieira MA, Galvão G, Louro P, Vieira P, Fantoni A. Optimizing Indoor Airport Navigation with Advanced Visible Light Communication Systems. Sensors. 2024; 24(16):5445. https://doi.org/10.3390/s24165445

Chicago/Turabian Style

Vieira, Manuela, Manuel Augusto Vieira, Gonçalo Galvão, Paula Louro, Pedro Vieira, and Alessandro Fantoni. 2024. "Optimizing Indoor Airport Navigation with Advanced Visible Light Communication Systems" Sensors 24, no. 16: 5445. https://doi.org/10.3390/s24165445

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