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A new perspective for precision evaluation of large-scale traffic sensor data measurement

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  • Junseo Bae
  • Kunhee Choi

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.

Suggested Citation

  • Junseo Bae & Kunhee Choi, 2020. "A new perspective for precision evaluation of large-scale traffic sensor data measurement," Transportation Planning and Technology, Taylor & Francis Journals, vol. 43(6), pages 571-585, August.
    • Handle: RePEc:taf:transp:v:43:y:2020:i:6:p:571-585
    DOI: 10.1080/03081060.2020.1780708
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