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Related Concept Videos

Elastic Collisions: Case Study01:15

Elastic Collisions: Case Study

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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...
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Types of Collisions - II01:19

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When two or more objects collide with each other, they can stick together to form one single composite object (after collision). The total mass of the object after the collision is the sum of the masses of the original objects, and it moves with a velocity dictated by the conservation of momentum. Although the system's total momentum remains constant, the kinetic energy decreases, and thus such a collision is an inelastic collision. Most of the collisions between objects in daily life are...
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Types Of Collisions - I01:04

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When two objects come in direct contact with each other, it is called a collision. During a collision, two or more objects exert forces on each other in a relatively short amount of time. A collision can be categorized as either an elastic or inelastic collision. If two or more objects approach each other, collide and then bounce off, moving away from each other with the same relative speed at which they approached each other, the total kinetic energy of the system is said to be conserved. This...
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Collisions in Multiple Dimensions: Introduction01:05

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It is far more common for collisions to occur in two dimensions; that is, the initial velocity vectors are neither parallel nor antiparallel to each other. Let's see what complications arise from this. The first idea is that momentum is a vector. Like all vectors, it can be expressed as a sum of perpendicular components (usually, though not always, an x-component and a y-component, and a z-component if necessary). Thus, when the statement of conservation of momentum is written for a...
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Collisions in Multiple Dimensions: Problem Solving01:06

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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...
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Elastic Collisions: Introduction01:00

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An elastic collision is one that conserves both internal kinetic energy and momentum. Internal kinetic energy is the sum of the kinetic energies of the objects in a system. Truly elastic collisions can only be achieved with subatomic particles, such as electrons striking nuclei. Macroscopic collisions can be very nearly, but not quite, elastic, as some kinetic energy is always converted into other forms of energy such as heat transfer due to friction and sound. An example of a nearly...
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Related Experiment Video

Updated: Mar 15, 2026

Using a Virtual Reality Walking Simulator to Investigate Pedestrian Behavior
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Experimental characterization of collision avoidance in pedestrian dynamics.

Daniel R Parisi1,2, Pablo A Negri2,3, Luciana Bruno2,4

  • 1Instituto Tecnológico de Buenos Aires. Lavarden 389, (1437) C. A. de Buenos Aires, Argentina.

Physical Review. E
|September 15, 2016
PubMed
Summary

Pedestrian avoidance behavior was studied in controlled experiments. Researchers found steering maneuvers were more common than stopping, offering insights for pedestrian flow models.

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Area of Science:

  • Traffic and Transport Psychology
  • Human-Computer Interaction
  • Biomechanics

Background:

  • Understanding pedestrian behavior is crucial for urban planning and traffic safety.
  • Existing models of pedestrian dynamics require validation with empirical data.

Purpose of the Study:

  • To experimentally characterize pedestrian avoidance behaviors in various conflict scenarios.
  • To quantify avoidance distances and identify common avoidance maneuvers.
  • To provide data for validating and calibrating pedestrian dynamics models.

Main Methods:

  • Controlled experiments with pedestrians in crossing and head-on configurations.
  • Above-view recording and image processing to obtain 2D pedestrian trajectories.
  • Measurement of lateral swaying amplitude, step lengths, and minimum avoidance distances.

Main Results:

  • Avoidance distance in head-on encounters was shorter than in perpendicular encounters.
  • Lateral swaying amplitude and step lengths were consistent with literature values.
  • Steering was a more probable avoidance maneuver than stopping; simultaneous maneuvers were rare.
  • Mean trajectory curvature was linearly anticorrelated with mean speed.

Conclusions:

  • Pedestrian avoidance strategies, specifically steering and stopping, were quantitatively defined.
  • Experimental data provides a basis for refining computational models of pedestrian movement.
  • Findings contribute to the development of safer and more efficient pedestrian flow management systems.