98%
921
2 minutes
20
The dynamics of a two-wheeled vehicle represent a higher level of complexity, with a high variety of rider practices, peculiarly during the bend-taking maneuver. This complexity is one reason why research on motorcyclists' practiced trajectories is limited compared to cars. Another reason is the low representation of motorcycles in the land motor vehicle fleet. The dataset was collected within the framework of the French ANR research project VIROLO++. The objective was twofold. One concerns the analysis of the interactions between a rider and the motorcycle during a bend-taking maneuver. The second aims at studying the precise trajectory of a motorcycle. Multi-sensor instrumentation of a motorcycle (Honda CBF1000) has been achieved for precise trajectory reconstruction as well as the analysis of the interactions between the rider and the motorcycle during a ride. Real experiments were conducted on the "La Ferté Gaucher'' racetrack. The collected data include the precise location and attitude of the motorcycle and rider. Several sensors providing redundant data have been embedded to validate measurements. Two RTK GPS receivers were installed at the rear of the motorcycle to provide ground truth. A preliminary analysis was performed to validate the consistency of the dataset and the relevance of the sensors according to the aimed study.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11550194 | PMC |
http://dx.doi.org/10.1016/j.dib.2024.111026 | DOI Listing |
PLoS One
September 2025
Graduate Institute of Injury Prevention and Control, College of Public Health, Taipei Medical University, Taipei City, Taiwan.
Background And Objectives: Fatality rates of motor vehicle crashes among the old population have risen, primarily in association with age-related declines in health and functional abilities. Comparatively little research has been conducted to examine the impacts of risk-taking behaviors (such as unhelmeted, unlicensed, and drunk riding) on fatalities among old motorcyclists.
Materials And Methods: This study employed the Taiwan National Traffic Crash Dataset from 2011 to 2022 to investigate fatal injuries among old motorcyclists.
Sci Rep
August 2025
Research Center for Social Determinants of Health, Jahrom University of Medical Sciences, Jahrom, Iran.
Fuel combustion is a major source of volatile organic compounds such as benzene, a known human carcinogen. Benzene is metabolized into intermediate biomarkers that can be used to assess the extent of exposure. This study aimed to investigate the association between urinary concentrations of creatinine (Cr), muconic acid (MA), trans, trans-muconic acid (tt-MA), and hippuric acid (HA) with demographic, lifestyle, and occupational factors among motorcyclists exposed to heavy traffic in the Shiraz metropolis, both before and after shift work.
View Article and Find Full Text PDFInj Prev
August 2025
Harborview Injury Prevention and Research Centre, Harborview Medical Centre, Seattle, Washington, USA.
Background: Motorcycles are a major source of road traffic injuries, with a preponderance of head injuries (HIs), especially among children and young adults. The reported prevalence of HI among children and young adults ranges between 17% and 67%. This study examined the determinants of motorcycle-related HIs among children and youth in northern Ghana.
View Article and Find Full Text PDFJ Res Health Sci
June 2025
Sina Trauma and Surgery Research Center, Sina Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Background: Fractures constitute a significant concern in low-income and middle-income countries, primarily due to road traffic crashes (RTCs), a leading cause of such injuries. This study aimed to analyze fracture patterns resulting from RTCs in Iran. A cross-sectional study.
View Article and Find Full Text PDFInt J Sports Physiol Perform
September 2025
MotoGP Health Center-Quirónprevención, Madrid, Spain.
Purpose: To describe the race workload and strength profile of MotoGP World Champion riders and explore potential differences between categories: MotoGP, Moto2, and Moto3.
Methods: The race workload of the 2023 championship was analyzed, calculating the average length of the Grand Prix (in meters), duration (in minutes), average speed (in km·h-1), top speed (in km·h-1), laps (number), curves (number), and curve density (in n·min-1) in the 3 categories. Thirty-two riders (6 MotoGP, 11 Moto2, and 15 Moto3) were assessed: hand grip (in newtons), bench press (in newtons), countermovement jump (CMJ), and squat jump (in CMJ: dynamic strength index; in CMJ and squat jump: height [in meters], peak power [in N·kg-1], force [in N·kg-1], impulse [in N·s]), and isometric hip adduction and abduction (in newtons).