RT info:eu-repo/semantics/article
T1 LED wristbands for cell-based crowd evacuation: an adaptive exit-choice guidance system architecture
A1 López Carmona, Miguel Ángel
A1 Paricio García, Álvaro
K1 Crowd evacuation
K1 LED wristbands
K1 Behavioral optimization
K1 Exit-choice decisions
K1 Simulation-optimization modeling
K1 Cell-based evacuation
K1 Electrónica
K1 Electronics
AB 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.
PB MDPI
SN 1424-8220
YR 2020
FD 2020-10-23
LK http://hdl.handle.net/10017/44915
UL http://hdl.handle.net/10017/44915
LA eng
NO Ministerio de Economía, Industria y Competitividad
DS MINDS@UW
RD 26-abr-2024