Dragomanovits A., Yannis G., Laiou A., La Torre F., Domenichini L., Richter T., Ruhl S., Graham D., Karathodorou N., “Predicting Road ACcidents – a Transferable methodology across Europe”, Proceedings of the 8th International Congress on Transportation Research In Greece, Thessaloniki, 27-29 September 2017.

Accident Prediction Models (APMs) and Crash Modification Factors (CMFs) are developed on the basis of usually long-term observational studies examining the statistical correlation between geometric or operational road characteristics and accidents. APMs and CMFs allow Road Authorities, designers and road safety engineers to estimate the safety performance of road projects, analyze potential safety issues, identify safety improvements and estimate potential safety effects. However, the reliability and accuracy of such methods largely depends on available knowledge on existing APMs and CMFs as well as on their transferability to different conditions.
Within PRACT research project new CMFs were estimated and a user friendly online searchable repository was developed with APMs and CMFs that satisfy specific quality criteria, focusing on types that are considered most useful by Road Authorities. Furthermore, a practical tool was developed to assist in the use and transferability evaluation of APMs and CMFs in different countries and road networks.