Abstract

Until now, the identification of pedal misapplication (PM) crashes in large datasets has relied on keyword searches of unstructured and inconsistent crash narratives. This study proposes an alternative to the established keyword search methodology for the identification of PM crashes by using event data recorders (EDRs). After analyzing a subset of NASS/CDS pre-crash EDR data, evidence of PM was observed in 4.6% of weighted events. This result was substantially higher than previously proposed PM frequencies of 0.20%. Event data also made it possible to analyze time-to-collision and other pedal behaviors, including pedal flooring, simultaneous application of the brake and the accelerator pedals, and pedal switching. By analyzing the time-series data of PM, a clearer understanding of this unique crash mechanism is formed.

Smith, CP, Sherony, R, Gabler, HC, "Methodology for the Identification of Pedal Misapplication Using Event Data Recorders." AAAM Student Symposium. 2021. Remote.