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Real Track Experiment Dataset for Motorcycle Rider Behavior and Trajectory Reconstructionhttps://solenoide.satie.ens-paris-saclay.fr/index.php/s/5mcDDFkmmbNrpa5

Authors :
Bastien Vincke
Pauline Michel
Abdelhafid El Ouardi
Bruno Larnaudie
Flavien Delgehier
Rabah Sadoun
Samir Bouaziz
Stéphane Espié
Sergio Rodriguez
Abderrahmane Boubezoul
Source :
Data in Brief, Vol 57, Iss , Pp 111026- (2024)
Publication Year :
2024
Publisher :
Elsevier, 2024.

Abstract

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.

Details

Language :
English
ISSN :
23523409
Volume :
57
Issue :
111026-
Database :
Directory of Open Access Journals
Journal :
Data in Brief
Publication Type :
Academic Journal
Accession number :
edsdoj.5269883a68dd4a4ba5629aaadb337805
Document Type :
article
Full Text :
https://doi.org/10.1016/j.dib.2024.111026