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Peer-reviewedCC BY 4.0PLOS One

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

  • Wenjie Sun1
  • Safizahanin binti Mokhtar2
  • Ruiqing Li3
  • Zhou Zou
  1. 1Department of Urban and Regional Planning, Universiti Teknologi Malaysia, Skudai, Johor, Malaysia
  2. 2Faculty of Computing, Universiti Teknologi Malaysia, UTM Johor Bahru, Johor, Malaysia
  3. 3School of Physics and Electronic Information Engineering, Hubei Engineering University, Xiaogan, P. R. China
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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.

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Cite

BibTeXRIS
BibTeX
@article{sun2026reproducible,
  title = {{Reproducible floating car data monitoring for data-scarce highway corridors: A TomTom–HERE benchmark study}},
  author = {Wenjie Sun and Safizahanin binti Mokhtar and Ruiqing Li and Zhou Zou},
  journal = {PLOS One},
  year = {2026},
  month = aug,
  doi = {10.1371/journal.pone.0357158},
  url = {https://doi.org/10.1371/journal.pone.0357158},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Reproducible floating car data monitoring for data-scarce highway corridors: A TomTom–HERE benchmark study
AU  - Wenjie Sun
AU  - Safizahanin binti Mokhtar
AU  - Ruiqing Li
AU  - Zhou Zou
PY  - 2026
DA  - 2026/08/31
JO  - PLOS One
DO  - 10.1371/journal.pone.0357158
UR  - https://doi.org/10.1371/journal.pone.0357158
AB  - 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.
SN  - 1932-6203
ER  -