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Updated: Dec 9, 2025

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Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior
Published on: April 13, 2016
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Time-to-arrival estimations to simulated pedestrians
Hannah Solini1, Jeffrey Andre2
1Clemson University, Clemson, SC, USA.
Accident; Analysis and Prevention
|September 14, 2020
Summary
Drivers consistently underestimate time-to-arrival (TTA) to pedestrians. Accuracy improves with lower vehicle speeds and daytime conditions, though pedestrian reflectance interacts with these factors.
Area of Science:
- Human-Computer Interaction
- Transportation Psychology
- Perception Psychology
Background:
- Driving necessitates environmental awareness to prevent collisions.
- Previous research explored time-to-arrival (TTA) in driving, but factors like pedestrian visibility and time of day remain understudied.
Purpose of the Study:
- To investigate how vehicle velocity, viewing time, pedestrian reflectance, and time of day influence time-to-arrival (TTA) estimations.
- To identify key variables affecting TTA accuracy in simulated driving scenarios.
Main Methods:
- Utilized driver-perspective video footage of a vehicle approaching simulated pedestrians.
- Manipulated vehicle velocities, viewing durations, pedestrian reflectance, and time of day (day vs. night).
Main Results:
- Time-to-arrival (TTA) was consistently underestimated across conditions.
- TTA estimation accuracy was highest at the lowest vehicle velocities.
- Daytime driving conditions yielded more accurate TTA estimates than nighttime.
- Pedestrian reflectance showed significant interactions with velocity and time of day, but no main effect.
Conclusions:
- Multiple factors, including vehicle speed and ambient light, significantly impact time-to-arrival (TTA) estimations.
- Understanding these variables is crucial for improving driving safety and informing future research on driver perception.
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