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

Relative Motion Analysis - Acceleration01:10

Relative Motion Analysis - Acceleration

526
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...
526
Relative Motion Analysis using Rotating Axes - Acceleration01:22

Relative Motion Analysis using Rotating Axes - Acceleration

471
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...
471
Acceleration Vectors01:30

Acceleration Vectors

17.0K
In everyday conversation, accelerating means speeding up. Acceleration is a vector in the same direction as the change in velocity, Δv, therefore the greater the acceleration, the greater the change in velocity over a given time. Since velocity is a vector, it can change in magnitude, direction, or both. Thus acceleration is a change in speed or direction, or both. For example, if a runner traveling at 10 km/h due east slows to a stop, reverses direction, and continues their run at 10 km/h...
17.0K
Average Acceleration01:30

Average Acceleration

11.7K
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...
11.7K

You might also read

Related Articles

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

Sort by
Same author

Transferability of safety inspection procedures for network-wide safety assessment of two-lane rural roads - an Italian-Hungarian experiment.

Traffic injury prevention·2025
Same author

Understanding Cyclists' Visual Behavior Using Eye-Tracking Technology: A Systematic Review.

Sensors (Basel, Switzerland)·2025
Same author

Detection of anomalies in cycling behavior with convolutional neural network and deep learning.

European transport research review·2024
Same author

A driving simulator study to evaluate the effects of different types of median separation on driving behavior on 2 + 1 roads.

Accident; analysis and prevention·2022
Same author

Implementation of a fully analog feedback loop with a Carbon-Black-based fractional order controller.

ISA transactions·2022
Same author

A new model of Hopfield network with fractional-order neurons for parameter estimation.

Nonlinear dynamics·2021

Related Experiment Video

Updated: Oct 30, 2025

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior
10:52

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

Published on: April 13, 2016

8.9K

A Novel Acceleration Signal Processing Procedure for Cycling Safety Assessment.

Emanuele Murgano1, Riccardo Caponetto1, Giuseppina Pappalardo2

  • 1Dipartimento di Ingegneria Elettrica Elettronica e Informatica, University of Catania, 95125 Catania, Italy.

Sensors (Basel, Switzerland)
|July 2, 2021
PubMed
Summary
This summary is machine-generated.

Identifying critical cycling safety events requires at least 1Hz GPS sampling. This enables monitoring rider speed and acceleration with affordable hardware, enhancing urban cyclist safety.

Keywords:
Dynamic Time WarpingGPS trackingbicycletraffic conflictwavelet decomposition

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

20.6K
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

4.7K

Related Experiment Videos

Last Updated: Oct 30, 2025

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior
10:52

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

Published on: April 13, 2016

8.9K
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

20.6K
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

4.7K

Area of Science:

  • Urban planning and transportation safety
  • Cyclist behavior analysis
  • Data science and signal processing

Background:

  • Urban cycling is hindered by safety concerns, necessitating identification of high-risk areas.
  • Traditional crash data analysis is insufficient for cyclist safety due to data limitations.
  • Modern technology offers new approaches for collecting cyclist behavior data.

Purpose of the Study:

  • To analyze data requirements for identifying critical cycling safety events in urban environments.
  • To evaluate the capability of bicycle-based data collection for cyclist safety.
  • To determine the minimum GPS sampling frequency for detecting hard braking events.

Main Methods:

  • Investigated three different GPS sampling frequencies to detect hard braking.
  • Developed a novel signal processing procedure for speed and acceleration data.
  • Applied wavelet transformation and Dynamic Time Warping (DTW) for noise reduction and signal alignment.

Main Results:

  • A minimum GPS sampling frequency of 1Hz is necessary to accurately track rider behavior and detect safety events.
  • The proposed signal processing, including DTW, effectively removes instrument noise and aligns signals.
  • The Euclidean distance of DTW was used to optimize filter parameters.

Conclusions:

  • Affordable hardware setups can effectively monitor cyclists' speed and acceleration.
  • This research provides a foundation for developing proactive cyclist safety countermeasures.
  • 1Hz GPS sampling is sufficient for capturing critical cyclist behavior data.