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The impact of probe sample bias on the accuracy of commercial floating car data speeds

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  • Megan M. Bruwer
  • Ian Walker
  • Simen J. Andersen

Abstract

Floating car data (FCD) reliability studies regularly report differences between FCD and benchmark speeds, called speed bias. Comparatively few studies consider factors causing speed bias. Various researchers have suggested, but not proven, that the sample of probes reporting FCD may result in FCD accuracy discrepancies between regions and sources. This paper defines a new FCD accuracy contributor – sample bias – and offers the first statistically motivated investigation of the impact that the FCD sample has on FCD accuracy, measured by speed bias. Evidence for sample bias is considered by observing how speed bias is impacted by region and FCD source. The magnitude of speed bias on freeways differed significantly between six cities in South Africa (p

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  • Megan M. Bruwer & Ian Walker & Simen J. Andersen, 2022. "The impact of probe sample bias on the accuracy of commercial floating car data speeds," Transportation Planning and Technology, Taylor & Francis Journals, vol. 45(8), pages 611-628, November.
    • Handle: RePEc:taf:transp:v:45:y:2022:i:8:p:611-628
    DOI: 10.1080/03081060.2022.2150858
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    Cited by:

    1. Jacomien van der Merwe & Tom de Jong, 2023. "Job accessibility and spatial equity: A City of Cape Town case study," WIDER Working Paper Series wp-2023-148, World Institute for Development Economic Research (UNU-WIDER).

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