LED wristbands for cell-based crowd evacuation: an adaptive exit-choice guidance system architecture
Identificadores
Enlace permanente (URI): http://hdl.handle.net/10017/44915DOI: 10.3390/s20216038
ISSN: 1424-8220
Editor
MDPI
Fecha de publicación
2020-10-23Patrocinadores
Ministerio de Economía, Industria y Competitividad
Cita bibliográfica
Lopez-Carmona, M.A.; Paricio-Garcia, A. LED Wristbands for Cell-Based Crowd Evacuation: An Adaptive Exit-Choice Guidance System Architecture. Sensors 2020, 20, 6038.
Palabras clave
Crowd evacuation
LED wristbands
Behavioral optimization
Exit-choice decisions
Simulation-optimization modeling
Cell-based evacuation
Proyectos
info:eu-repo/grantAgreement/MINECO//TIN2016-80622-P/ES/Dynamic Network Agreement: negociaciones estructurales en redes complejas/DNA
Tipo de documento
info:eu-repo/semantics/article
Versión
info:eu-repo/semantics/publishedVersion
Versión del editor
https://doi.org/10.3390/s20216038Derechos
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY NC-ND 4.0)
Derechos de acceso
info:eu-repo/semantics/openAccess
Resumen
Cell-based crowd evacuation systems provide adaptive or static exit-choice indications that favor a coordinated group dynamic, improving evacuation time and safety. While a great effort has been made to modeling its control logic by assuming an ideal communication and positioning infrastructure, the architectural dimension and the influence of pedestrian positioning uncertainty have been largely overlooked. In our previous research, a cell-based crowd evacuation system (CellEVAC) was proposed that dynamically allocates exit gates to pedestrians in a cell-based pedestrian positioning infrastructure. This system provides optimal exit-choice indications through color-based indications and a control logic module built upon an optimized discrete-choice model. Here, we investigate how location-aware technologies and wearable devices can be used for a realistic deployment of CellEVAC. We consider a simulated real evacuation scenario (Madrid Arena) and propose a system architecture for CellEVAC that includes: a controller node, a radio-controlled light-emitting diode (LED) wristband subsystem, and a cell-node network equipped with active Radio Frequency Identification (RFID) devices. These subsystems coordinate to provide control, display, and positioning capabilities. We quantitatively study the sensitivity of evacuation time and safety to uncertainty in the positioning system. Results showed that CellEVAC was operational within a limited range of positioning uncertainty. Further analyses revealed that reprogramming the control logic module through a simulation optimization process, simulating the positioning system's expected uncertainty level, improved the CellEVAC performance in scenarios with poor positioning systems.
Ficheros en el ítem
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LED_Lopez_Sensors_2020.pdf | 1.440Mb |
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LED_Lopez_Sensors_2020.pdf | 1.440Mb |
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