Related Experiment Video
Updated: Oct 16, 2025

07:15
Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
Published on: December 18, 2020
4.6K
A methodology for assessing driver perception-response time during unanticipated cross-centerline events
Luke E Riexinger1, David M Fortenbaugh2
1Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, Virginia.
Traffic Injury Prevention
|October 21, 2021
Summary
Drivers responded faster to unexpected centerline events using steering than braking. Real-world perception-response times (PRTs) for both actions were quicker than in simulator studies, highlighting naturalistic driving data
Area of Science:
- Road safety
- Human factors in driving
- Automotive engineering
Background:
- Cross-centerline events pose significant risks in real-world driving.
- Understanding driver responses to such events is crucial for developing advanced safety systems.
Purpose of the Study:
- To introduce a methodology for quantifying driver reactions to unanticipated cross-centerline events using naturalistic driving data.
- To measure and compare driver perception-response times (PRTs) for braking and steering evasive actions.
Main Methods:
- Utilized forward-facing video from naturalistic driving to identify cross-centerline events.
- Analyzed acceleration and yaw rate data to pinpoint braking and steering onset.
- Defined specific thresholds for braking (-0.1g deceleration) and steering (2 deg/s yaw rate) to calculate PRTs.
Main Results:
- Identified 17 cross-centerline events from the driving database.
- All drivers braked; 11 out of 17 also steered.
- Average steering PRT (0.39s) was significantly faster than average braking PRT (0.84s).
Conclusions:
- In real-world cross-centerline events, drivers exhibit faster steering perception-response times than braking perception-response times.
- Median PRTs in naturalistic scenarios were faster than those reported in simulator or test track studies.
- Further research should explore the sequence of evasive actions and the influence of time-to-contact on driver responses.

