Although there is still scope for substantial and worthwhile additional improvements in secondary safety, many researchers have suggested that there are limits to what can be achieved with secondary safety alone and have suggested that, in future, more cost-beneficial gains in safety will be achieved through primary safety measures and the integration of primary and secondary safety features into an intelligent safety system package. One of the main tools used to prioritise safety interventions, given a wide range of potential applications, is cost benefit analysis, using accident data to quantify the casualty reduction benefit. However, traditional sources of accident data can be very limited in terms of their ability to accurately quantify the effects of primary safety features.

The aim of this report was to establish current best practice in terms of using accident data to evaluate primary safety features of vehicles and to recommend ways to improve these analyses using different or new sources of data and/or new improved analytical techniques such that more robust cost-benefit analyses can be achieved. The work was completed in 2006.

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