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

Rolling Resistance: Problem Solving01:17

Rolling Resistance: Problem Solving

Rolling resistance, also known as rolling friction, is the force that resists the motion of a rolling object, such as a wheel, tire, or ball, when it moves over a surface. It is caused by the deformation of the object and the surface in contact with each other, as well as other factors like internal friction, hysteresis, and energy losses within the materials. Rolling resistance opposes the object's motion, requiring additional energy to overcome it and maintain movement. In practical...

You might also read

Related Articles

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

Sort by
Same author

Visual attention and driving behavior of male autistic individuals while encountering driving hazards: A driving simulator study.

Accident; analysis and prevention·2026
Same author

The effectiveness of real-time and post-trip interventions within the i-DREAMS naturalistic driving project: A cross-national analysis.

Accident; analysis and prevention·2025
Same author

The Development of a New Location-Based Accessibility Measure Based on GPS Data.

Sensors (Basel, Switzerland)·2025
Same author

Accuracy of Heart Rate Measurement Under Transient States: A Validation Study of Wearables for Real-Life Monitoring.

Sensors (Basel, Switzerland)·2025
Same author

Objective vs perceived sleep in Belgian occupational drivers: A field study.

Sleep medicine·2025
Same author

A performance validation of six commercial wrist-worn wearable sleep-tracking devices for sleep stage scoring compared to polysomnography.

Sleep advances : a journal of the Sleep Research Society·2025

Related Experiment Video

Updated: Jul 5, 2026

Measuring the Switch Cost of Smartphone Use While Walking
07:00

Measuring the Switch Cost of Smartphone Use While Walking

Published on: April 30, 2020

1.8K

Evaluating Bicycle Path Roughness: A Comparative Study Using Smartphone and Smart Bicycle Light Sensors.

Tufail Ahmed1, Ali Pirdavani1,2, Geert Wets1

  • 1UHasselt, The Transportation Research Institute (IMOB), Martelarenlaan 42, 3500 Hasselt, Belgium.

Sensors (Basel, Switzerland)
|November 27, 2024
PubMed
Summary

This study shows smartphone sensors and smart bicycle lights can effectively assess bicycle path roughness. These low-cost tools offer a reliable method for monitoring cycling infrastructure quality and improving urban planning.

Keywords:
bicycle vibrationbicycling comfortcomfort assessmentsmart bicycle lightssmartphone sensors

More Related Videos

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

3.2K
Author Spotlight: A Smartphone-Based Imaging Method for C. elegans Lawn Avoidance Assay
07:39

Author Spotlight: A Smartphone-Based Imaging Method for C. elegans Lawn Avoidance Assay

Published on: February 24, 2023

9.8K

Related Experiment Videos

Last Updated: Jul 5, 2026

Measuring the Switch Cost of Smartphone Use While Walking
07:00

Measuring the Switch Cost of Smartphone Use While Walking

Published on: April 30, 2020

1.8K
Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

3.2K
Author Spotlight: A Smartphone-Based Imaging Method for C. elegans Lawn Avoidance Assay
07:39

Author Spotlight: A Smartphone-Based Imaging Method for C. elegans Lawn Avoidance Assay

Published on: February 24, 2023

9.8K

Area of Science:

  • Civil Engineering
  • Transportation Engineering
  • Urban Planning

Background:

  • Bicycle path surface quality directly impacts cyclist comfort and safety.
  • Existing methods for assessing infrastructure quality can be costly and time-consuming.
  • There is a need for efficient, scalable solutions to monitor cycling infrastructure.

Purpose of the Study:

  • To evaluate the effectiveness of smartphone sensors and smart bicycle lights in assessing bicycle path roughness.
  • To compare the accuracy of data from smartphone applications and smart bicycle lights for measuring vibrational comfort.
  • To determine the feasibility of using these technologies for large-scale infrastructure assessment.

Main Methods:

  • Utilized smartphone sensors (Physics Toolbox Sensor Suite) and smart bicycle lights (SEE.SENSE) to collect GPS and vertical acceleration data on various Belgian bicycle paths.
  • Calculated Dynamic Comfort Index (DCI) and Root Mean Square (RMS) values from collected data to quantify cyclist vibrational comfort.
  • Performed statistical comparisons of comfort assessment results from different data sources.

Main Results:

  • No significant statistical difference was found in the comfort assessment between the Dynamic Comfort Index (DCI), Root Mean Square (RMS) values, and SEE.SENSE data.
  • Smartphone sensors and smart bicycle lights provide comparable data for evaluating bicycle path surface quality.
  • The study demonstrated the viability of these technologies for objective comfort measurements.

Conclusions:

  • Smartphone sensors and smart bicycle lights are effective, low-cost tools for assessing bicycle path roughness and cyclist comfort.
  • Integrating these technologies enables efficient, large-scale monitoring of cycling infrastructure.
  • Findings support improved urban planning and enhanced cycling conditions through continuous infrastructure quality assessment.