Modelling of the Powered Two-Wheelers dynamic behavior for accident reconstruction and incident detection

Powered two-wheelers (PTW) are among the most vulnerable and casualties of the road users. Their mortality and accident rates can be partially explained by the problems associated to the vehicle dynamic specific to the PTW. Hence the decision to approach this problem and to study the dynamic of this category of vehicle in order to model the behaviour of a PTW during the pre-crash phase of an accident taking into account the specificities necessary for the accident reconstruction. A numerical model able to reproduce the dynamic behavior of a motorcycle during emergency maneuvers has been developed. This multi-body model consisting of 6 bodies and 11 degrees of freedom has been implemented using Matlab SimMechanics software. The effects of suspensions and tires are taken into account in particular with a Pacejka model adapted to the motorcycle. Once the numerical model was developed, we have instrumented a motorcycle to verify the validity of the model. The dynamic parameters of the motorcycle were recorded during hard braking, slaloms and avoidance maneuvers. The driver's actions, like the torque applied on the handlebar and the speed of the vehicle, were injected into the model and the results obtained numerically and experimentally were compared. Once the numerical model was validated, we used it for accident reconstruction purposes. To do this, we have introduced a methodology: cross the scene of the accident with the instrumented motorcycle to collect the actions of the driver in normal driving situation, extrapolate these data to the emergency situation in order to inject them into the model and simulate the different possible configurations. After a thorough analysis of the simulation results, we can estimate, for example, the speed at impact or the actions to be taken or not carried out by the driver and which led to the accident

Language

  • French

Media Info

  • Media Type: Digital/other
  • Pagination: 204p.

Subject/Index Terms

Filing Info

  • Accession Number: 01688846
  • Record Type: Publication
  • Source Agency: Institut Francais des Sciences et Technologies des Transports, de l'Amenagement et des Reseaux (IFSTTAR)
  • Files: ITRD
  • Created Date: Dec 18 2018 10:16AM