TY  - JOUR
PY  - 2020//
TI  - A new perspective for precision evaluation of large-scale traffic sensor data measurement
JO  - Transportation planning and technology
A1  - Bae, Junseo
A1  - Choi, Kunhee
SP  - 571
EP  - 585
VL  - 43
IS  - 6
N2  - 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>
LA  - en
SN  - 0308-1060
UR  - http://dx.doi.org/10.1080/03081060.2020.1780708
ID  - ref1
ER  -