Wireless Parking Detection System Based on Sensor Fusion and IoT Communication

dc.contributor.advisorWang, Yinhai
dc.contributor.authorZhuang, Yifan
dc.date.accessioned2019-08-14T22:30:59Z
dc.date.issued2019-08-14
dc.date.submitted2019
dc.descriptionThesis (Master's)--University of Washington, 2019
dc.description.abstractWith 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.
dc.embargo.lift2020-08-13T22:30:59Z
dc.embargo.termsRestrict to UW for 1 year -- then make Open Access
dc.format.mimetypeapplication/pdf
dc.identifier.otherZhuang_washington_0250O_19806.pdf
dc.identifier.urihttp://hdl.handle.net/1773/44120
dc.language.isoen_US
dc.rightsCC BY
dc.subjectInternet of Things
dc.subjectSensor fusion
dc.subjectSmart Road Sticker
dc.subjectTransportation
dc.subject.otherCivil engineering
dc.titleWireless Parking Detection System Based on Sensor Fusion and IoT Communication
dc.typeThesis

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Zhuang_washington_0250O_19806.pdf
Size:
2.15 MB
Format:
Adobe Portable Document Format