The Evaluation of Crowd Density Estimation with Wi-Fi Signal Band in Closed Space via Ray-Tracing Simulation

Abstract:

The Simulation of Crowd Sensing in Closed Space with the Attenuation Measurement of the Wi-Fi Signal is Proposed here. A Train Car is Used as the Test Environment of Interest. Experimental Validation is Performed for a Certain Range of Input Parameters which Include Permittivity of Human Body, Structure Materials and Sensor Placements. the Simulation Results Show that for all Cases, the Signal Strengths Associated with Masses of Human Body Reduce with Number of Passengers. the Number of Passengers can Be Estimated with Good Accuracy Using Linear Function with the R-Square Value over 0.97 and RMSE Value below 2. the Simulation Results Suggest that the Estimation Accuracy of Number of Passengers will Improve with Higher Number of Passengers and Multiple Transmitters in Neighbor Nodes can Affect the Overall Precision. the Experimental Validation Exhibits the same Trend as that of the Simulation. the Additional Experiment Indicates that the Passenger Body Movement Also has a Considerable Impact on the Estimation Accuracy.

• Periodical: Advanced Engineering Forum (Volume 33)
• Pages: 33-45
• DOI: https://doi.org/10.4028/www.scientific.net/AEF.33.33
• Online since: August 2019
• Authors: Sittichai Wangwiwattana*, Rardchawadee Silapunt, Yoshikazu Koike
• Keywords: Attenuation, Estimation, Human Density, Radio Interferences, Radio Signal Strength, Ray Tracing Simulation

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