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Modeling of the Powered Two-Wheeler dynamic behavior for emergency situations analysis

Authors :
COSTA, Laura
Perrin, Christophe
DUBOIS-LOUNIS, Maxime
Serre, Thierry
M'Sirdi, Nacer K
Laboratoire Mécanismes d'Accidents (IFSTTAR/TS2/LMA)
Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)
Unité de recherche Mécanismes d'accidents (IFSTTAR/MA)
Laboratoire de Biomécanique Appliquée (LBA UMR T24)
Aix Marseille Université (AMU)-Université Gustave Eiffel
Laboratoire d'Informatique et Systèmes (LIS)
Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)
Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS)
Source :
16th International Con¬ference Vehicle System Dynamics, Identification and Anomalies ; VSDIA 2018, November 5-7, 2018, 16th International Con¬ference Vehicle System Dynamics, Identification and Anomalies ; VSDIA 2018, November 5-7, 2018, Nov 2018, Budapest, Hungary
Publication Year :
2018
Publisher :
HAL CCSD, 2018.

Abstract

International audience; This paper deals with a numerical modelling of the Powered Two-Wheelers (PTW) dynamic in order to simulate its behaviour during emergency situations. Firstly, a multibody model of a Honda VFR has been developed. It consists of six bodies and eleven degrees of freedom and takes into account the specificities to simulate hard braking, avoidance and slalom manoeuvres. In parallel, a motorcycle was instrumented to conduct a series of emergency manoeuvres in order to validate the model. The experimental tests have been compared to the simulated model and results give good correlations showing that the model is well adapted to simulate emergency situations.

Details

Language :
English
Database :
OpenAIRE
Journal :
16th International Con¬ference Vehicle System Dynamics, Identification and Anomalies ; VSDIA 2018, November 5-7, 2018, 16th International Con¬ference Vehicle System Dynamics, Identification and Anomalies ; VSDIA 2018, November 5-7, 2018, Nov 2018, Budapest, Hungary
Accession number :
edsair.dedup.wf.001..f499e5548f5ad8997f9d21e9e3d3757c