The aim of this paper is to describe the accident prediction procedure and evaluation tool developed within the PRACT project for rural freeways and two lane rural highways. This allows to undertake the following functions: • adapt the base model to local conditions based on historical data; • identify the Crash Modification Factors (CMFs) that could be relevant for the specific application; • verify if the selected CMFs are transferable to the specific condition; • apply the calibrated model to the specific location to be analysed. Different countries, as well as different road authorities within a country, have different levels of expertise and different data availability. The system is therefore structured with different calibration levels ranging from a total lack of historical data to situations where crash data, traffic data and geometric data are all available.