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

Naturalistic Observations02:30

Naturalistic Observations

16.9K
If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances...
16.9K
Relative Motion Analysis - Acceleration01:10

Relative Motion Analysis - Acceleration

742
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...
742
Relative Motion Analysis using Rotating Axes - Acceleration01:22

Relative Motion Analysis using Rotating Axes - Acceleration

692
Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame. The absolute velocity of point B is determined by adding the absolute velocity of point A, the relative velocity of point B in the rotating frame, and the effects caused by the angular velocity within the rotating frame.
Time differentiation is...
692
Drive-Reduction Theory: Push Theory of Motivation01:27

Drive-Reduction Theory: Push Theory of Motivation

1.0K
Clark Hull's drive-reduction theory, introduced in the 1940s and 1950s and often termed the "push theory" of motivation, provides a framework for understanding how biological and learned drives influence behavior. Hull suggested that motivation originates from the need to alleviate physiological tension caused by unmet biological necessities. The theory proposes that when a basic need, such as hunger or sleep, goes unfulfilled, it creates an internal imbalance. This imbalance, or...
1.0K
Average Acceleration01:30

Average Acceleration

12.5K
The importance of understanding acceleration spans our day-to-day experiences, as well as the vast reaches of outer space and the tiny world of subatomic physics. In everyday conversation, to accelerate means to speed up. For instance, we are familiar with the acceleration of our car; the harder we apply our foot to the gas pedal, the faster we accelerate. The greater the acceleration, the greater the change in velocity over a given time. Acceleration is widely seen in experimental physics. In...
12.5K
Instantaneous Acceleration01:16

Instantaneous Acceleration

22.5K
Acceleration is in the direction of the change in velocity, but it is not always in the direction of motion. When an object slows down, its acceleration is opposite to the direction of its motion. Although commonly referred to as deceleration, this causes confusion in our analysis as deceleration is not a vector, and does not point to a specific direction with respect to a coordinate system. Therefore, the term deceleration is not used. For example, when a subway train slows down, it...
22.5K

You might also read

Related Articles

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

Sort by
Same author

Association between social support and recovery from post-traumatic stress disorder after flood: a 13-14 year follow-up study in Hunan, China.

BMC public health·2016
Same author

Endoscopic Endonasal Approach to Mesencephalic Cavernous Malformations.

World neurosurgery·2016
Same author

Photochemical transformation of an iron(III)-arsenite complex in acidic aqueous solution.

Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology·2016
Same author

Combining p53 stabilizers with metformin induces synergistic apoptosis through regulation of energy metabolism in castration-resistant prostate cancer.

Cell cycle (Georgetown, Tex.)·2016
Same author

Plant polyphenols alter a pathway of energy metabolism by inhibiting fecal Bacteroidetes and Firmicutes in vitro.

Food & function·2016
Same author

Exploring Combinations of Different Color and Facial Expression Stimuli for Gaze-Independent BCIs.

Frontiers in computational neuroscience·2016

Related Experiment Video

Updated: Dec 30, 2025

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

4.9K

Analysis of drivers' deceleration behavior based on naturalistic driving data.

Shuang Li1, Penghui Li2,3,4, Yao Yao5

  • 1Control and Simulation Center, Harbin Institute of Technology, Harbin, China.

Traffic Injury Prevention
|January 28, 2020
PubMed
Summary
This summary is machine-generated.

Drivers choose between braking or releasing the accelerator for deceleration. Factors like traffic flow, speed, and lead vehicle behavior influence this choice, informing intelligent vehicle brake control system design.

Keywords:
Deceleration modeintelligent vehiclelogistic regressionnaturalistic driving data

More Related Videos

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

12.9K
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

17.8K

Related Experiment Videos

Last Updated: Dec 30, 2025

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

4.9K
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

12.9K
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

17.8K

Area of Science:

  • Human-computer interaction
  • Automotive engineering
  • Traffic safety

Background:

  • Understanding driver behavior is crucial for designing humanlike intelligent vehicle systems.
  • Deceleration involves two modes: brake pedal input and accelerator pedal release (naturalistic driving resistance).
  • Previous research focused on brake pedal use, neglecting accelerator release behavior.

Purpose of the Study:

  • To investigate factors influencing drivers' choice between brake pedal input and accelerator release for deceleration.
  • To provide a theoretical foundation for designing intelligent vehicle brake control systems.

Main Methods:

  • A logistic regression model was developed to predict deceleration mode choice.
  • Independent variables included traffic flow, intersection mode, road alignment, traffic light status, vehicle motion states, time headway (THW), and speed.
  • Data from 393 naturalistic driving deceleration events were analyzed.

Main Results:

  • Six factors significantly influence deceleration mode: traffic flow, intersection mode, lead vehicle motion state, ego-vehicle motion state, ego-vehicle speed, and THW.
  • Drivers are more likely to choose 'no pedal input' (accelerator release) with increased THW and speed.
  • Drivers prefer 'no pedal input' when the lead vehicle is decelerating or traveling, and in intersections or higher traffic flow conditions.

Conclusions:

  • Driver deceleration behavior can be categorized into 'no pedal input' and 'brake pedal input'.
  • Traffic flow, intersection mode, lead vehicle and ego-vehicle motion states, speed, and THW are key influencing factors.
  • The logistic regression model quantifies these influences, providing a basis for Advanced Driving Assistant System (ADAS) and intelligent control system braking design.