A model for the individuation of road dependent collisions

Road accidents are becoming a great social problem. According to international accidents database, road traffic crashes kill more than one million people a year: every minute two people lose their lives and seven people are seriously injured in road accidents all over the world. Road traffic crashes have been ranked the 11th major cause of death and account for 2.1% of all deaths globally. Many strategies have been introduced to reduce road risk and mitigate severe consequences of unavoidable crashes but the first step to select which road safety measures could provide the best benefits is an in depth accident analysis to identify the factors and the causes of road crashes. Taking a certain road safety problem as a starting point, a list of possible measures should be selected and rated, but the investigation of the problem is as crucial as complex step. The paper presents a methodology for the identification of those accidents caused by the road. It is necessary and useful to evaluate road “pathology” and to determine critical roadway deficiencies that contribute to crashes and to eliminate or mitigate them, drafting an effective road program for accident prevention.