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◆ PloS one2026-01-01

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

Wenjie Sun, Safizahanin Binti Mokhtar, Ruiqing Li, Zhou Zou

原始摘要(英文原文)· Original 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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Reproducible floating car data monitoring for data-scarce highway corridors: A TomTom-HERE benchmark study. — 科研速览 Science Skim