The Development of an IoT Instrumented Bike: For Assessment of Road and Bike Trail Conditions

Peijie Qiu, Xilun Liu, Siwei Wen, Yuchang Zhang, Kyle N. Winfree, Chun-Hsing Ho

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

The purpose of this paper is to present a method to detect bike trail conditions while displaying real-time data on a mobile application. Using a Global Positioning System (GPS) unit, microprocessor and multiple accelerometers built on the concept of Internet of Things (IoT), the entire device employs real-time data to collect, analyze, and identify bumps and cracks in public infrastructure. The main purpose of this research is aimed at helping the government evaluate the severity of road conditions to better assist in strategic decision making about maintaining or repairing damaged infrastructural areas as well as to notify pedestrians of potential bumps or cracks along their route. The authors propose an algorithm that sets a window range to vertically process the raw accelerometer data to accurately distinguish bumps. By integrating this algorithm onto a mobile application, the data collected by this program can be shared between users to help avoid potential risks or dangerous road conditions and to assist in the evaluation of infrastructural deterioration.

Original languageEnglish (US)
Title of host publication2018 International Symposium in Sensing and Instrumentation in IoT Era, ISSI 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538656389
DOIs
StatePublished - Nov 15 2018
Event2018 International Symposium in Sensing and Instrumentation in IoT Era, ISSI 2018 - Shanghai, China
Duration: Sep 6 2018Sep 7 2018

Publication series

Name2018 International Symposium in Sensing and Instrumentation in IoT Era, ISSI 2018

Conference

Conference2018 International Symposium in Sensing and Instrumentation in IoT Era, ISSI 2018
CountryChina
CityShanghai
Period9/6/189/7/18

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ASJC Scopus subject areas

  • Instrumentation
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications
  • Computer Science Applications

Cite this

Qiu, P., Liu, X., Wen, S., Zhang, Y., Winfree, K. N., & Ho, C-H. (2018). The Development of an IoT Instrumented Bike: For Assessment of Road and Bike Trail Conditions. In 2018 International Symposium in Sensing and Instrumentation in IoT Era, ISSI 2018 [8538268] (2018 International Symposium in Sensing and Instrumentation in IoT Era, ISSI 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISSI.2018.8538268