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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
PubMed
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.

Keywords:
DrivingReflectanceTime of dayTime-to-arrival (TTA)VelocityViewing time

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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.