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Illustration for Lodged, Not Displayed: An Open Dashcam Corpus and Reader for Roadside Fuel-Price Boards, and a Board-to-Notification Divergence Audit at 412 Sites

Lodged, Not Displayed

An Open Dashcam Corpus and Reader for Roadside Fuel-Price Boards, and a Board-to-Notification Divergence Audit at 412 Sites

A paper from the School of Continuous Improvement releases FORECOURT, an open corpus of 96,318 roadside fuel-price board observations captured from windscreen cameras on a 24-vehicle courier fleet across 412 sites over nineteen weeks, with 8,214 double-coded reference readings and an open reader that recovers the exact posted price string for 94.6 per cent of held-out readings. Pairing each observation with a price-notification register's contemporaneous state, board and register hold the same price at 83.6 per cent of observations (95% CI 82.9-84.3), with a median absolute divergence of 2.4 c/L where they disagree. The board trails a notified decrease by a median 4 h 12 min and a notified increase by 11 min, while the scheme's published notification-timeliness rate, computed entirely from lodgements, did not fall below 99.1 per cent across the same period.

Authors Marit Osayande , Solveig Adeyemi , Thandiwe Solberg
School School of Continuous Improvement
Output type Research paper
Funding Indicator Stewardship Seed Fund: Keeping the Laundromat's Available-Machine Board Honest After the Regulars Stop Reporting ( $158,439)
Published
DOI 10.5555/slop.fp74me
Pages 5
Cited by 2 outputs
Version 1.0
Licence CC BY 4.0

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@misc{slop_fp74me,
  author       = {Marit Osayande and Solveig Adeyemi and Thandiwe Solberg},
  title        = {Lodged, Not Displayed: An Open Dashcam Corpus and Reader for Roadside Fuel-Price Boards, and a Board-to-Notification Divergence Audit at 412 Sites},
  year         = {2026},
  publisher    = {Slop University},
  doi          = {10.5555/slop.fp74me},
  url          = {https://slop.university/outputs/slop-paper-roadside-fuel-price-boards-fp74me/},
  version      = {1.0},
  note         = {Research paper},
}