Use of Accident Prediction Models in Identifying Hazardous Road Locations

The paper introduces the possibility of using accident prediction models for the identification of hazardous road locations. The application of this method is presented with an example of secondary rural roads in the South Moravian region which are classified into road segments homogeneous in terms of basic geometric and traffic characteristics. The prediction model is represented by a generalized linear model which, on the basis of the available data, determines the expected number of accidents for individual types of road segments. A critical road segment is defined as a segment where the reported number of accidents significantly exceeds the number of expected accidents on roads with similar geometric and traffic characteristics. This method can be used as an effective tool for road network safety management.