Jove
Visualize
Contact Us

Related Concept Videos

Types Of Collisions - I01:04

Types Of Collisions - I

9.5K
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...
9.5K
Types of Collisions - II01:19

Types of Collisions - II

9.9K
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...
9.9K
Predicting Molecular Geometry02:27

Predicting Molecular Geometry

46.0K
VSEPR Theory for Determination of Electron Pair Geometries
46.0K
Basic Postulates of Kinetic Molecular Theory: Particle Size, Energy, and Collision02:43

Basic Postulates of Kinetic Molecular Theory: Particle Size, Energy, and Collision

37.9K
The ideal-gas equation, which is empirical, describes the behavior of gases by establishing relationships between their macroscopic properties. For example, Charles’ law states that volume and temperature are directly related. Gases, therefore, expand when heated at constant pressure. Although gas laws explain how the macroscopic properties change relative to one another, it does not explain the rationale behind it.
37.9K
Elastic Collisions: Introduction01:00

Elastic Collisions: Introduction

15.2K
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...
15.2K
Elastic Collisions: Case Study01:15

Elastic Collisions: Case Study

20.6K
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...
20.6K

You might also read

Related Articles

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

Sort by
Same author

A Multitiered Solution for Anomaly Detection in Edge Computing for Smart Meters.

Sensors (Basel, Switzerland)·2020
Same author

Smart grid as a service: a discussion on design issues.

TheScientificWorldJournal·2014
See all related articles
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: Feb 5, 2026

Structural Design and Manufacturing of a Cruiser Class Solar Vehicle
14:57

Structural Design and Manufacturing of a Cruiser Class Solar Vehicle

Published on: January 30, 2019

14.4K

Vehicle Collision Prediction under Reduced Visibility Conditions.

Keng-Pin Chen1, Pao-Ann Hsiung2

  • 1Department of Computer Science & Information Engineering, National Chung Cheng University, Chiayi 62102, Taiwan. go120625@gmail.com.

Sensors (Basel, Switzerland)
|September 12, 2018
PubMed
Summary

A new Visibility-based Collision Warning System (ViCoWS) improves rear-end collision detection in poor weather. ViCoWS provides earlier warnings than existing methods, enhancing driver safety in low visibility conditions.

Keywords:
back-propagation neural networkdata analyticsdata fittingpredictiontime-to-collisionvehicle collision avoidance

More Related Videos

Laboratory Drop Towers for the Experimental Simulation of Dust-aggregate Collisions in the Early Solar System
09:44

Laboratory Drop Towers for the Experimental Simulation of Dust-aggregate Collisions in the Early Solar System

Published on: June 5, 2014

13.3K
Preparation and Photoacoustic Analysis of Cellular Vehicles Containing Gold Nanorods
10:46

Preparation and Photoacoustic Analysis of Cellular Vehicles Containing Gold Nanorods

Published on: May 2, 2016

7.3K

Related Experiment Videos

Last Updated: Feb 5, 2026

Structural Design and Manufacturing of a Cruiser Class Solar Vehicle
14:57

Structural Design and Manufacturing of a Cruiser Class Solar Vehicle

Published on: January 30, 2019

14.4K
Laboratory Drop Towers for the Experimental Simulation of Dust-aggregate Collisions in the Early Solar System
09:44

Laboratory Drop Towers for the Experimental Simulation of Dust-aggregate Collisions in the Early Solar System

Published on: June 5, 2014

13.3K
Preparation and Photoacoustic Analysis of Cellular Vehicles Containing Gold Nanorods
10:46

Preparation and Photoacoustic Analysis of Cellular Vehicles Containing Gold Nanorods

Published on: May 2, 2016

7.3K

Area of Science:

  • Intelligent Transportation Systems (ITS)
  • Traffic Safety Engineering
  • Environmental Perception for Autonomous Systems

Background:

  • Radar-based collision warning systems in ITS are significantly degraded by adverse weather conditions like fog and heavy rain.
  • Existing Vehicle-to-Everything (V2X) communication methods for rear-end collision avoidance still require improvement, particularly concerning weather impacts on human response times.
  • Low visibility conditions pose a critical challenge for accurate and timely collision detection and warning.

Purpose of the Study:

  • To design and evaluate a Visibility-based Collision Warning System (ViCoWS) for enhanced rear-end collision detection under adverse weather.
  • To develop predictive models for velocity, headway distance, and prediction horizon estimation that adapt to varying visibility.
  • To provide real-time, weather-adaptive collision avoidance warnings to drivers.

Main Methods:

  • Proposed a ViCoWS design integrating four key models: prediction horizon estimation, velocity prediction, headway distance prediction, and rear-end collision warning.
  • Utilized historical velocity data to predict future velocity trends.
  • Estimated the prediction horizon dynamically based on current weather and visibility conditions.

Main Results:

  • The velocity prediction model achieved a mean absolute percentage error of less than 11%.
  • In heavy fog (120m visibility), ViCoWS provided warnings up to 4.5 seconds before a potential collision, significantly outperforming the FCPI method (0.6s).
  • In medium fog (160m visibility), ViCoWS offered 2.1s warnings, while FCPI provided only 0.6s. For congested traffic, ViCoWS gave 1.9s warnings compared to FCPI's 1.2s.

Conclusions:

  • ViCoWS effectively enhances collision detection and warning capabilities in low visibility conditions by adapting to real-time weather changes.
  • The system offers substantially earlier warnings compared to conventional methods like FCPI, improving driver reaction time and road safety.
  • ViCoWS demonstrates a promising approach for intelligent transportation systems to mitigate risks associated with rear-end collisions in adverse weather.