The Evaluation of Crowd Density Estimation with Wi-Fi Signal Band in Closed Space via Ray-Tracing Simulation
| Autor: | Rardchawadee Silapunt, Sittichai Wangwiwattana, Yoshikazu Koike |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Computer science
business.industry Attenuation 020206 networking & telecommunications 02 engineering and technology General Medicine Radio signal strength Human density Optics 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Ray tracing (graphics) Closed space Crowd density business Signal band |
| Zdroj: | Advanced Engineering Forum. 33:33-45 |
| ISSN: | 2234-991X |
| DOI: | 10.4028/www.scientific.net/aef.33.33 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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