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· 2015

Critical Reasons for Crashes Investigated in the National Motor Vehicle Crash Causation Survey

Santokh Singh

Short summary

In 94% of light vehicle crashes, the driver's error was the critical reason, with recognition errors accounting for the largest share (41%).

AI-generated from the title and abstract; the full text is not read.

Key points

  • Driver error was the critical reason in 94% (±2.2%) of light vehicle crashes.
  • Recognition errors accounted for 41% (±2.1%) of driver-related crash causes.
  • Decision errors contributed to 33% (±3.7%) of driver-related crash causes.
  • Vehicle component failure or environmental factors were the critical reason in only 2% of crashes each.

AI-generated from the title and abstract; the full text is not read.

Abstract

The National Motor Vehicle Crash Causation Survey (NMVCCS), conducted from 2005 to 2007, was aimed at collecting on-scene information about the events and associated factors leading up to crashes involving light vehicles. Several facets of crash occurrence were investigated during data collection, namely the pre-crash movement, critical pre-crash event, critical reason, and the associated factors. A weighted sample of 5,470 crashes was investigated over a period of two and a half years, which represents an estimated 2,189,000 crashes nationwide. About 4,031,000 vehicles, 3,945,000 drivers, and 1,982,000 passengers were estimated to have been involved in these crashes. The critical reason, which is the last event in the crash causal chain, was assigned to the driver in 94 percent (±2.2%)† of the crashes. In about 2 percent (±0.7%) of the crashes, the critical reason was assigned to a vehicle component’s failure or degradation, and in 2 percent (±1.3%) of crashes, it was attributed to the environment (slick roads, weather, etc.). Among an estimated 2,046,000 drivers who were assigned critical reasons, recognition errors accounted for about 41 percent (±2.1%), decision errors 33 percent (±3.7%), and performance errors 11 percent (±2.7%) of the crashes.

The authors' abstract, as published at the source., 2015 · DOI ↗

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Field: Safety, Risk, Reliability and Quality

Safety, Risk, Reliability and QualityEngineering