Abstract
Besides increasing the comfort for drivers by the use of automotive assistance systems like cruise control or navigation systems new advanced driver assistance systems like lane departure warning or the emergency brake assistance intend to increase road traffic safety. Further the increase of safety goes along with mitigating risks, which for road users are expressed by the possibility and the severity of accidents. The presented approach in this paper shows a methodical way of learning from accident characteristics and statistics recorded in databases in order to set up functional requirements for new driver assistance systems that are able to improve the road safety by efficiently assisting the driver in critical situations on one hand and to set the main focus on functional assistance systems for situations with the highest accident rates on the other hand. This will help to evaluate existing systems and to develop advanced and safety efficient driver assistance systems increasing road safety
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