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Reproducible floating car data monitoring for data-scarce highway corridors: A TomTom–HERE benchmark study

Author

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  • Wenjie Sun
  • Safizahanin binti Mokhtar
  • Ruiqing Li
  • Zhou Zou

Abstract

Data-scarce highway corridors require continuous monitoring, but fixed detectors are often sparse, costly, and difficult to maintain. This study developed a reproducible floating car data workflow for corridor traffic monitoring. The workflow includes scheduled data collection, rule-based filtering, database storage, indicator calculation, cross-platform comparison, and result export. The case study focused on the Kuching–Telok Melano section of the Pan Borneo Highway in Sarawak, Malaysia. A 42-point TomTom virtual monitoring panel was collected at 15 min intervals from 8 December 2025–28 February 2026. HERE traffic records were used as a 30 min external benchmark during the overlapping period from 8 to 31 December 2025 after temporal and spatial harmonization. The TomTom panel achieved 97.30% mean daily availability and detected a repeated evening pressure window near 19:30. The TomTom–HERE comparison showed similar traffic-pressure patterns at the matched block–time scale. These findings suggest that platform FCD can support corridor monitoring where fixed detectors are limited, but they should not be read as ground-truth validation.

Suggested Citation

  • Wenjie Sun & Safizahanin binti Mokhtar & Ruiqing Li & Zhou Zou, 2026. "Reproducible floating car data monitoring for data-scarce highway corridors: A TomTom–HERE benchmark study," PLOS ONE, Public Library of Science, vol. 21(8), pages 1-21, August.
  • Handle: RePEc:plo:pone00:0357158
    DOI: 10.1371/journal.pone.0357158
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