Bibliographic description:
Vorobchuk Alina. Detecting conditions that cause unstable sensor road test readings: using Quality Control Charts. Bachelor Thesis. Ukrainian Catholic University, Faculty of Applied Sciences, Department of Computer Sciences. Lviv 2022, 31 p.
Abstract:
Road infrastructure plays a significant role in a country’s economic development.
To maintain this vital infrastructure, road maintenance and preservation are
extremely important.
Weigh-in-motion (WIM) technology is a practical and economic solution to mitigate
some of the consequences of road deterioration. While WIM systems have a
number of advantages; their main drawback is the measurement accuracy. The quality
of the sensor readings is highly dependent on different environmental factors,
which may cause anomalous values in data.
My thesis focuses on detecting abnormal sensor values and identifying the reasons
that caused such sensor readings. This paper examines the effectiveness of
applying the Quality Control Charts for detecting abnormal sensor values in WIM
tests.
The project aims to provide recommendations that help understand the features
and limitations of road sensors in various environmental conditions. Furthermore,
this work can serve as a basis for further studies in the field of road construction.
