TY - GEN
T1 - The Development of an IoT Instrumented Bike
T2 - 2018 International Symposium in Sensing and Instrumentation in IoT Era, ISSI 2018
AU - Qiu, Peijie
AU - Liu, Xilun
AU - Wen, Siwei
AU - Zhang, Yuchang
AU - Winfree, Kyle N.
AU - Ho, Chun-Hsing
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/11/15
Y1 - 2018/11/15
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85059375053&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85059375053&partnerID=8YFLogxK
U2 - 10.1109/ISSI.2018.8538268
DO - 10.1109/ISSI.2018.8538268
M3 - Conference contribution
AN - SCOPUS:85059375053
T3 - 2018 International Symposium in Sensing and Instrumentation in IoT Era, ISSI 2018
BT - 2018 International Symposium in Sensing and Instrumentation in IoT Era, ISSI 2018
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 6 September 2018 through 7 September 2018
ER -