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 Concept Videos

Modeling and Similitude01:12

Modeling and Similitude

Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...

You might also read

Related Articles

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

Sort by
Same author

Molecular mechanisms of naturally encoded signaling bias at the complement anaphylatoxin receptors.

Molecular cell·2026
Same author

A Misclassification Framework for Identifying Systematic Error in Pedestrian Crash Prediction: Evidence from Seattle, WA.

Accident; analysis and prevention·2026
Same author

Asking AI About Your Car: AI-Augmented Vehicle Owner's Manuals Support Integrated System Understanding Beyond Traditional Documentation.

Human factors·2026
Same author

With a Little Help From My Car: Sharing Automated Vehicle's Situation Awareness Reduces Driver-Initiated Automation Disengagement Without Delaying Takeover Response Time.

Human factors·2026
Same author

The Concise Guide to PHARMACOLOGY 2025/26: G protein-coupled receptors.

British journal of pharmacology·2025
Same author

Preface to the special issue for the 30th International Complement Workshop Brisbane 2025.

Immunobiology·2025
Same journal

The grand rapids dip could it be real?

Accident; analysis and prevention·2026
Same journal

A temporal causal deep learning for real-time traffic risk prediction on freeway merging areas.

Accident; analysis and prevention·2026
Same journal

Modeling road-segment-level speeding risk of new energy vehicle taxis using a multistage framework with spatial spillover, endogeneity, and nonlinear effects.

Accident; analysis and prevention·2026
Same journal

Role of streetscape feature in pedestrian safety: A modified multi-level multiple membership model.

Accident; analysis and prevention·2026
Same journal

Assessing autonomous driving performance and environmental influencing factors using real-world operational trajectory data.

Accident; analysis and prevention·2026
Same journal

Multi-scale modeling of electric vehicle fatal crash risk: uncovering spatial heterogeneity and infrastructure-land use coupling mechanisms.

Accident; analysis and prevention·2026
See all related articles

Related Experiment Video

Updated: Jun 14, 2026

Driving Simulation in the Clinic: Testing Visual Exploratory Behavior in Daily Life Activities in Patients with Visual Field Defects
11:12

Driving Simulation in the Clinic: Testing Visual Exploratory Behavior in Daily Life Activities in Patients with Visual Field Defects

Published on: September 18, 2012

Using driving simulators to assess driving safety.

Linda Ng Boyle1, John D Lee

  • 1Industrial and Systems Engineering, Civil and Environmental Engineering, University of Washington, Seattle, WA, USA.

Accident; Analysis and Prevention
|April 13, 2010
PubMed
Summary
This summary is machine-generated.

Driving simulators offer a controlled environment to study new transportation technologies and their impact on safety. This special issue presents 25 papers on simulator-based research for addressing critical safety challenges.

More Related Videos

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
07:15

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research

Published on: December 18, 2020

Driving Under the Influence: How Music Listening Affects Driving Behaviors
07:25

Driving Under the Influence: How Music Listening Affects Driving Behaviors

Published on: March 27, 2019

Related Experiment Videos

Last Updated: Jun 14, 2026

Driving Simulation in the Clinic: Testing Visual Exploratory Behavior in Daily Life Activities in Patients with Visual Field Defects
11:12

Driving Simulation in the Clinic: Testing Visual Exploratory Behavior in Daily Life Activities in Patients with Visual Field Defects

Published on: September 18, 2012

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
07:15

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research

Published on: December 18, 2020

Driving Under the Influence: How Music Listening Affects Driving Behaviors
07:25

Driving Under the Influence: How Music Listening Affects Driving Behaviors

Published on: March 27, 2019

Area of Science:

  • Transportation Safety
  • Human Factors Engineering
  • Simulation Technology

Background:

  • Traditional data sources like crash records and naturalistic driving data have limitations in establishing causation and assessing future technologies.
  • Evolving transportation systems (drivers, vehicles, roadways) present complex safety challenges.
  • Driving simulators are increasingly vital for controlled experimental research in transportation safety.

Discussion:

  • Simulator studies allow for the manipulation of independent variables in a randomized, controlled setting, enabling causal inference.
  • This approach is crucial for evaluating novel technologies not yet present in production vehicles.
  • The controlled environment of simulators overcomes limitations inherent in observational data.

Key Insights:

  • Simulator-based research provides a powerful tool for understanding the causal relationships between risk factors and transportation safety outcomes.
  • This methodology is essential for proactively addressing safety challenges posed by emerging technologies and changing road environments.
  • The ability to isolate variables is key to advancing transportation safety science.

Outlook:

  • Future transportation safety research will increasingly rely on advanced driving simulators.
  • Simulator studies will be critical for developing and validating safety interventions for new vehicle technologies and infrastructure designs.
  • Continued advancements in simulation technology will enhance the fidelity and scope of safety research.