Wireless Parking Detection System Based on Sensor Fusion and IoT Communication
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Zhuang, Yifan
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Abstract
With the constant growths of the automotive industry, traffic problems especially the parking problem is increasingly prominent. Currently, many parking facilities do not have enough capacity to support travelers’ parking demand in urban areas. While building additional parking facilities is difficult for most cities, making optimized use of existing parking resources is a more practical solution. To this end, this study develops a wireless parking detection system for smart parking detection and management. The key hardware component of the system is a new wireless parking space detector named Smart Road Sticker (SRS), which is based on sensor fusion and Internet-of-Things communication technologies. New parking detection algorithms are developed and integrated into the SRS. Two field tests are conducted in representative scenarios. The experimental results and analyses demonstrate the effectiveness of this system with high detection accuracy and low power consumption. Specifically, it achieves over 95% detection rate and over one-year battery life under various conditions.
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Thesis (Master's)--University of Washington, 2019
