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Related Concept Videos

Elastic Collisions: Case Study01:15

Elastic Collisions: Case Study

Elastic collision of a system demands conservation of both momentum and kinetic energy. To solve problems involving one-dimensional elastic collisions between two objects, the equations for conservation of momentum and conservation of internal kinetic energy can be used. For the two objects, the sum of momentum before the collision equals the total momentum after the collision. An elastic collision conserves internal kinetic energy, and so the sum of kinetic energies before the collision equals...
Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is the...
Determination of Expected Frequency01:08

Determination of Expected Frequency

Suppose one wants to test independence between the two variables of a contingency table. The values in the table constitute the observed frequencies of the dataset. But how does one determine the expected frequency of the dataset? One of the important assumptions is that the two variables are independent, which means the variables do not influence each other. For independent variables, the statistical probability of any event involving both variables is calculated by multiplying the individual...
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least squares (OLS)...
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
PD Controller: Design01:26

PD Controller: Design

In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
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Related Experiment Video

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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

[Automobile versus pedestrian accidents analysis by fixed-parameters computer simulation].

Ming-Yuan Mao1, Yi-Jiu Chen, Ning-Guo Liu

  • 1Medical School of Soochow University, Suzhou 215123, China. mao_mingyuan@sohu.com

Fa Yi Xue Za Zhi
|July 9, 2008
PubMed
Summary

Computer simulations analyzed pedestrian injuries in car crashes. Vehicle speed and impact point significantly influence crash outcomes and pedestrian biomechanical responses, particularly to the head, neck, and legs.

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Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior

Published on: April 13, 2016

Area of Science:

  • Biomechanics
  • Traffic Safety Engineering
  • Computational Modeling

Context:

  • Automobile-pedestrian accidents pose a significant public health risk.
  • Understanding injury mechanisms is crucial for developing effective prevention strategies.
  • Existing research often relies on cadaveric studies or limited real-world data.

Purpose:

  • To analyze the effects of speed, vehicle type, and impact position on pedestrian crash dynamics and injuries.
  • To utilize multi-body dynamics (MBD) computer simulation for a detailed biomechanical analysis.
  • To identify key injury patterns in head, neck, and leg regions.

Summary:

  • Simulations modeled various vehicles (bus, minibus, car, truck) and pedestrian impacts at speeds from 20-60 km/h.
  • Crash-courses were found to be similar for identical vehicle types and impact positions at speeds up to 60 km/h.
  • Distinct characteristics were observed in head acceleration, upper neck axial force, and leg axial force.

Impact:

  • Multi-body dynamics simulation is a viable tool for analyzing pedestrian crash kinematics and injury prediction.
  • Findings can inform vehicle design, safety regulations, and urban planning to reduce pedestrian fatalities and injuries.
  • Provides a foundation for further research into advanced pedestrian protection systems.