We conducted experiments on measuring the positioning of people using standard (custom) BLE and UWB positioning systems in an indoor test environment. Then, we analyzed and compared the results in terms of using the data obtained from the sensors for data-driven crowd simulations using Cellular Automata grids. Our research confirmed the usability of both technologies as positioning methods in data-driven modeling of pedestrian dynamics. Positioning using standard UWB configuration revealed to be much more accurate than the standard BLE configuration. In our experiments, based on standard configuration of both devices, the accuracy of the UWB results equated to standard deviation did not exceed 0.1 m - which is an order of magnitude (10 times) less than in the case of BLE.
Pałka, D., Lubaś, R., Vizzari, G., Wąs, J. (2023). Comparison of the Use of UWB and BLE as Positioning Methods in Data-Driven Modeling of Pedestrian Dynamics. In Parallel Processing and Applied Mathematics 14th International Conference, PPAM 2022, Gdansk, Poland, September 11–14, 2022, Revised Selected Papers, Part II (pp.492-501). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-031-30445-3_41].
Comparison of the Use of UWB and BLE as Positioning Methods in Data-Driven Modeling of Pedestrian Dynamics
Vizzari, GiuseppePenultimo
;
2023
Abstract
We conducted experiments on measuring the positioning of people using standard (custom) BLE and UWB positioning systems in an indoor test environment. Then, we analyzed and compared the results in terms of using the data obtained from the sensors for data-driven crowd simulations using Cellular Automata grids. Our research confirmed the usability of both technologies as positioning methods in data-driven modeling of pedestrian dynamics. Positioning using standard UWB configuration revealed to be much more accurate than the standard BLE configuration. In our experiments, based on standard configuration of both devices, the accuracy of the UWB results equated to standard deviation did not exceed 0.1 m - which is an order of magnitude (10 times) less than in the case of BLE.
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