Driver Distraction and Attention Status in Traffic Crashes, Phase I Analysis

Distraction is a factor in over half of crashes involving driver inattention, according to the report. This dataset, authored by J C Stutts, likely contains variables for driver attention status and specific distracting events, derived from Phase I of a research project. The National Highway Traffic Safety Administration estimates at least 25% of police-reported crashes involve some form of driver inattention.

Use Cases

• Classifying driver attention status (attentive, distracted, sleepy) based on the defined categorical variable.
• Identifying the relative importance of specific distracting events as crash causes based on the second variable.
• Modeling the relationship between distraction types and crash outcomes based on the report's analytical framework.

Strengths

• Analysis is based on a defined framework with two specific variables for attention status and distracting events.
• Research context is provided, citing NHTSA estimates that at least 25% of police-reported crashes involve driver inattention.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and sample data are unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

J C Stutts, sourced via paperswithcode.

Collection Method

Likely derived from research analysis of crash reports, as described in the project's Phase I.

Time Range

null

Freshness

Last updated date is unknown.

Geography

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