Real Track Experiment Dataset for Motorcycle Rider Behavior and Trajectory Reconstruction

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.

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Publication Details

Journal
Data in Brief
Published
2024-10-18
DOI
https://doi.org/10.1016/j.dib.2024.111026
Citations
1
Primary Topic
Vehicle Dynamics and Control Systems
Type
article
Field-Weighted Citation Impact
0.20

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article

Real Track Experiment Dataset for Motorcycle Rider Behavior and Trajectory Reconstruction

Sergio Rodríguez, Abdelhafid Elouardi, Pauline Michel, Abderrahmane Boubezoul et al.
1 citations
Data in Brief
Vehicle Dynamics and Control Systems
0.20
article

Real Track Experiment Dataset for Motorcycle Rider Behavior and Trajectory Reconstruction

Sergio Rodríguez, Abdelhafid Elouardi, Pauline Michel, Abderrahmane Boubezoul, Samir Bouaziz, Rabah Sadoun, Stéphane Espié, Flavien Delgehier, Bastien Vincke, Bruno Larnaudie
article en
1 citations

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.

Data in BriefVol. 57
Centre National de la Recherche Scientifique (FR), Université Paris-Saclay (FR), Laboratoire des systèmes et applications des technologies de l'information et de l'énergie (FR), Université Gustave Eiffel (FR)
Agence Nationale de la Recherche
Openalex Percentile: Top 49%
Vehicle Dynamics and Control Systems
0.20
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