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100–Car Study

About the Study: The 100–Car Naturalistic Driving Study was an instrumented vehicle study conducted in the Northern Virginia / Washington, D.C. area over a 2–year period. The primary purpose of the study was to collect large–scale naturalistic driving data. To this end, the instrumentation was designed to be unobtrusive, study participants were given no special instructions, and experimenters were not present. Approximately 100 vehicles were instrumented with a suite of sensors including forward and rearward radar, lateral and longitudinal accelerometers, gyro, GPS, access to the vehicle CAN, and five channels of compressed digital video. Collection rates for the various sensors ranged from 1Hz to 10Hz. This collection effort resulted in approximately 2,000,000 vehicle miles and 43,000 hours of driving data. Detailed video analysis has been compiled for 68 crashes and 760 near–crashes.


100–Car Study Data Sets

Time Series Data: data set containing times series data recorded by the instrumentation package, at a rate of 10Hz, for each crash or near–crash.

Event Video Reduction Data: data set containing detailed event, driver state, and driving environment information derived from video reduction for each crash and near–crash.

Event Eyeglance Data: data set containing a frame–by–frame video recording of participant eyeglance location for each crash or near–crash.

Baseline Video Reduction Data: data set containing detailed driver state and driving environment information derived from video reduction for a sample of normative, non–event driving segments.

Baseline Eyeglance Data: data set containing a frame–by–frame video recording of participant eyeglance location for a subset of normative, non–event driving segments.


Related Readings

The 100–Car Naturalistic Driving Study: Phase II — Results of the 100–Car Field Experiment: describes the study's design, instrumentation, and initial results. (PDF)

The Impact of Driver Inattention on Near–Crash/Crash Risk: An Analysis Using the 100–Car Naturalistic Driving Study: analysis of driver inattention and associated crash / near–crash risk. (PDF)

Secondary Analyses: provides guidance to researchers conducting analyses on previously collected data. (PDF)