Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Aug 10, 2025

Using a Virtual Reality Walking Simulator to Investigate Pedestrian Behavior
06:38

Using a Virtual Reality Walking Simulator to Investigate Pedestrian Behavior

Published on: June 9, 2020

4.9K

Communication between Autonomous Vehicles and Pedestrians: An Experimental Study Using Virtual Reality.

Symbat Zhanguzhinova1, Emese Makó1, Attila Borsos1

  • 1Department of Transport Infrastructure and Water Resources Engineering, University of Győr, Egyetem tér 1, 9026 Győr, Hungary.

Sensors (Basel, Switzerland)
|February 11, 2023
PubMed
Summary

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Transferability of safety inspection procedures for network-wide safety assessment of two-lane rural roads - an Italian-Hungarian experiment.

Traffic injury prevention·2025
Same author

Traffic Sign Detection and Quality Assessment Using YOLOv8 in Daytime and Nighttime Conditions.

Sensors (Basel, Switzerland)·2025
Same author

Improving Autonomous Vehicle Perception through Evaluating LiDAR Capabilities and Handheld Retroreflectivity Assessments.

Sensors (Basel, Switzerland)·2024
See all related articles

Autonomous vehicles (AV) use LED signals to communicate intent to pedestrians. This study found explicit communication patterns are quickly learned and effective for safe road crossing decisions.

Area of Science:

  • Human-Computer Interaction
  • Autonomous Systems
  • Transportation Psychology

Background:

  • Pedestrian interaction with autonomous vehicles (AV) presents significant challenges.
  • Traditional human drivers use non-verbal cues (gestures, eye contact) to signal intent.
  • Developing effective communication methods for AVs is crucial for safety.

Purpose of the Study:

  • To investigate the influence of explicit communication patterns on pedestrian decision-making when crossing roads.
  • To assess pedestrian reactions to an LED light display on a virtual AV.
  • To determine if communication patterns are self-explaining and facilitate safe crossing behavior.

Main Methods:

  • A virtual reality (VR) experiment was conducted in an urban pedestrian crossing setting.
Keywords:
LED communicationautonomous vehiclecrossingpedestrianvirtual reality

More Related Videos

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants
06:28

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

Published on: August 26, 2018

6.0K
Virtual Reality Experiments with Physiological Measures
07:09

Virtual Reality Experiments with Physiological Measures

Published on: August 29, 2018

12.8K

Related Experiment Videos

Last Updated: Aug 10, 2025

Using a Virtual Reality Walking Simulator to Investigate Pedestrian Behavior
06:38

Using a Virtual Reality Walking Simulator to Investigate Pedestrian Behavior

Published on: June 9, 2020

4.9K
A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants
06:28

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

Published on: August 26, 2018

6.0K
Virtual Reality Experiments with Physiological Measures
07:09

Virtual Reality Experiments with Physiological Measures

Published on: August 29, 2018

12.8K
  • Participants (n=51) observed a virtual AV with an LED red/green light display approaching.
  • Four scenarios varied AV speed and display signals; participants decided when it was safe to cross.

    • Main Results:

    • The majority of participants correctly identified safe crossing windows based on the AV's signals.
    • While males decided slightly faster, no significant differences in decision-making were found based on gender or age.
    • Participants demonstrated a rapid learning process regarding the LED communication patterns.

    Conclusions:

    • Explicit communication patterns, such as the tested LED display, are effective and quickly understood by pedestrians.
    • AVs can enhance pedestrian safety through clear, self-explaining visual signals.
    • Further research into non-verbal communication for AVs is warranted to improve human-AV interaction.