Motorcycle accidents are complex and therefore difficult to analyse, which in turn constitutes a sig- nificant challenge for the development of protection systems for motorcyclists. As an example, the rider's position is significantly influenced by the pre-crash manoeuvres, in particular when comparing it to positioning of car occupants. Consequently, it turns out to be a lot more difficult to predict conse- quences of an accident in terms of injuries. This paper describes the application of methods and mod- els of Passive Safety and the consideration of conditions and input from Active Safety. The pre-crash information to be considered includes positioning on different types of motorcycles and positioning according to the pre-crash manoeuvres that the rider performed. The input from the Active-Safety side also includes results on reaction times from volunteer testing. It is shown how the timeline of pre- crash and crash scenarios can be linked. In this case, crash analysis is performed with two different modelling approaches, multi-body systems as well as Finite-Element Analysis. The representation of the rider can be both, by means of an anthropomorphic test device (dummy) and by means of an ana- tomically correct numerical model of the human body. Such an approach can render possible the evaluation of the benefit of potential Active-Safety systems in terms of injury severity mitigation.