Carrier Safety Scoring Under Measurement Instability: From CSA Percentile Volatility to Route-Level Risk Allocation

Carrier safety percentile scores generated by the Federal Motor Carrier Safety Administration’s Safety Measurement System inform enforcement prioritization, insurance underwriting, and, increasingly, automated freight-assignment decisions. Several independent strands of research document that these percentiles behave inconsistently for carriers with limited inspection histories. This article connects that documented inconsistency to a specific decision a route-level or lane-level risk-allocation system must make: whether to treat every published percentile with equal statistical confidence. Drawing together evidence on carrier size, inspection frequency, longitudinal score movement, and carrier-level aggregation, the article argues that a below-threshold CSA percentile carries a different statistical status than an above-threshold one, and proposes this distinction as a design requirement for automated routing systems that already handle other forms of scenario uncertainty. The article specifies the data, unit of observation, and modeling approach a future empirical study would need to test this claim, framing the present contribution as the conceptual groundwork for that test.

Authors

Publication Details

Journal
American Journal of Innovation in Science and Engineering
Published
2026-10-28
DOI
https://doi.org/10.54536/ajise.v5i3.8448
Primary Topic
Traffic and Road Safety
Type
article
Field-Weighted Citation Impact
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article

Carrier Safety Scoring Under Measurement Instability: From CSA Percentile Volatility to Route-Level Risk Allocation

Orlova Natalya Gennadyevna
American Journal of Innovation in Science and Engineering
Traffic and Road Safety
article

Carrier Safety Scoring Under Measurement Instability: From CSA Percentile Volatility to Route-Level Risk Allocation

Orlova Natalya Gennadyevna
article en

Abstract

Carrier safety percentile scores generated by the Federal Motor Carrier Safety Administration’s Safety Measurement System inform enforcement prioritization, insurance underwriting, and, increasingly, automated freight-assignment decisions. Several independent strands of research document that these percentiles behave inconsistently for carriers with limited inspection histories. This article connects that documented inconsistency to a specific decision a route-level or lane-level risk-allocation system must make: whether to treat every published percentile with equal statistical confidence. Drawing together evidence on carrier size, inspection frequency, longitudinal score movement, and carrier-level aggregation, the article argues that a below-threshold CSA percentile carries a different statistical status than an above-threshold one, and proposes this distinction as a design requirement for automated routing systems that already handle other forms of scenario uncertainty. The article specifies the data, unit of observation, and modeling approach a future empirical study would need to test this claim, framing the present contribution as the conceptual groundwork for that test.

American Journal of Innovation in Science and EngineeringVol. 5(3)
Industry, innovation and infrastructure
Openalex Percentile: Top 13%
Traffic and Road Safety
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