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

Design Example: Designing Water Slide01:18

Design Example: Designing Water Slide

707
When designing a water slide, controlling the speed of water flow is crucial for rider safety while maintaining an exciting experience. As water flows down the slide, gravity causes it to accelerate, with its speed at the bottom depending on the height from which it starts. The higher the slide, the more potential energy the water has at the top, which is converted into kinetic energy as it descends, increasing its speed.
Bernoulli's principle determines the water's velocity along the slide....
707
Relative Motion Analysis - Acceleration01:10

Relative Motion Analysis - Acceleration

1.0K
A slider-crank mechanism converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider. The movement of the slider-crank is an example of general plane motion as the fluctuating angle between the crank and the connecting rod. Consider a segment AB where point A is at the end of the slider and point B is on the diametrically opposite end to point A, on a crack. The variance in...
1.0K
Design Consideration01:22

Design Consideration

628
Designing a structure involves a series of considerations, primarily the material's ultimate strength, calculated through tests that measure changes under increased force until the material reaches its breaking point or limit. The ultimate load, where the material breaks, is divided by its original cross-sectional area, resulting in the ultimate normal stress or strength. The ultimate shearing stress is another significant factor taken into account.
The factor of safety is another key...
628
Hazard Rate01:11

Hazard Rate

476
The hazard rate, also known as the hazard function or failure rate, is a statistical measure used to describe the instantaneous rate at which an event occurs, given that the event has not yet happened. From a probabilistic perspective, it represents the likelihood that a subject will experience the event in a very small time interval, conditional on surviving up to the beginning of that interval. In terms of frequency, the hazard rate can be viewed as the ratio of the number of events to the...
476
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

828
Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
828
Introduction To Survival Analysis01:18

Introduction To Survival Analysis

932
Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time...
932

You might also read

Related Articles

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

Sort by
Same author

A Canadian Benchmark LiDAR Dataset for Urban Infrastructure and 3D Scene Understanding.

Scientific data·2026
Same author

Automated Object Detection, Mapping, and Assessment of Roadside Clear Zones Using Lidar Data.

Transportation research record·2026
Same author

Fully Automated Algorithm for Light Pole Detection and Mapping in Rural Highway Environment Using Mobile Light Detection and Ranging Point Clouds.

Transportation research record·2026
Same author

Leveraging Generative Design and Point Cloud Data to Improve Conformance to Passing Lane Layout.

Sensors (Basel, Switzerland)·2024
Same author

Leveraging LiDAR-Based Simulations to Quantify the Complexity of the Static Environment for Autonomous Vehicles in Rural Settings.

Sensors (Basel, Switzerland)·2024
Same author

Assessing the effectiveness of speed limit reduction in Edmonton: A case study analysis.

Accident; analysis and prevention·2023

Related Experiment Video

Updated: Mar 21, 2026

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

4.5K

Exploring the association between speed and safety: A path analysis approach.

Suliman A Gargoum1, Karim El-Basyouny1

  • 1Department of Civil and Environmental Engineering, University of Alberta, Edmonton, AB, Canada T6G 1H9, Canada.

Accident; Analysis and Prevention
|May 11, 2016
PubMed
Summary

Vehicle speeds significantly impact road safety and collision risk. This study models how road, traffic, and climate factors influence speeds and crashes, revealing key relationships for improved safety strategies.

Keywords:
Causal mediationIndirect effectsMediation analysisPath analysisSpeed-Safety relationshipStructural equation modelling

More Related Videos

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
11:41

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Published on: February 1, 2020

21.1K
A Task for Assessing the Impact of a Partner on the Speed and Accuracy of Motor Performance in Rats
06:17

A Task for Assessing the Impact of a Partner on the Speed and Accuracy of Motor Performance in Rats

Published on: October 17, 2019

5.3K

Related Experiment Videos

Last Updated: Mar 21, 2026

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

4.5K
Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
11:41

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Published on: February 1, 2020

21.1K
A Task for Assessing the Impact of a Partner on the Speed and Accuracy of Motor Performance in Rats
06:17

A Task for Assessing the Impact of a Partner on the Speed and Accuracy of Motor Performance in Rats

Published on: October 17, 2019

5.3K

Area of Science:

  • Transportation Engineering
  • Traffic Safety Research
  • Statistical Modeling

Background:

  • Road safety is multifactorial, influenced by road characteristics, climate, traffic, and vehicle speeds.
  • Increased vehicle speeds are consistently linked to higher collision risks.
  • Road and traffic features affect both speeds and collision occurrences.

Purpose of the Study:

  • To simultaneously model the relationships between average speed, collision frequency, and confounding factors.
  • To assess the mediated effects of various variables on collisions through their influence on speed.
  • To provide data-driven insights for developing effective speed management strategies.

Main Methods:

  • Structural Equation Modelling (SEM) was employed to analyze complex relationships.
  • Data from 353 two-lane urban roads in Edmonton, Canada, were used.
  • Analysis integrated 35 million speed observations over five years with crash frequency and road/traffic/climate data.

Main Results:

  • Average speed, traffic volume, segment length, medians, and horizontal curves significantly affect collision frequency.
  • Road shoulders, speed limits, and vehicle lengths were found to significantly influence average speeds.
  • Observed partial and full mediation indicate that some factors impact safety indirectly through speed.

Conclusions:

  • Vehicle speed is a critical determinant of road safety, with significant direct and indirect effects.
  • Understanding the interplay between road design, traffic conditions, and speed is crucial for effective safety interventions.
  • Findings support the development of targeted speed management strategies to enhance road safety.