@article{ref1,
title="A new perspective for precision evaluation of large-scale traffic sensor data measurement",
journal="Transportation planning and technology",
year="2020",
author="Bae, Junseo and Choi, Kunhee",
volume="43",
number="6",
pages="571-585",
abstract="Use of sensor data has been increasingly common in recent years, yet there is still a knowledge gap in evaluating the precision of traffic sensor data being used in traffic analyses for developing a transportation management plan. This paper fills this gap by exploring a new approach to evaluating the level of precision of large-scale traffic sensor data. The proposed analytical framework incorporates a spatiotemporal domain for the purpose of projecting spatiotemporal characteristics of the data into a repeatability and reproducibility (R&R) study. The main finding of this study is that the proposed framework is effective in examining the precision level of large-scale data spatiotemporally. The proposed framework would be useful for researchers and practitioners to benchmark precision measurements of traffic sensor data in a way to gather quality data and avoid any potential biased result of deeper traffic analyses.<p /> <p>Language: en</p>",
language="en",
issn="0308-1060",
doi="10.1080/03081060.2020.1780708",
url="http://dx.doi.org/10.1080/03081060.2020.1780708"
}