Hardware Architecture
Real Track Experiment Dataset for Motorcycle Rider Behavior and Trajectory Reconstruction
Published on - Data in Brief
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.