The Concept of the Software to Analyse Road Safety Statistics and Support Decision Making Process

Specialists of different fields (from traffic management and control to logistics) are interested in the market of autonomous cars development. This could give a synergistic effect, because it can improve reliability, safety, efficiency and sustainability of the transport system. However, intellectualization of the transport system requires solving problems that arise (here, under the intellectualization we understand the process of transforming the transport system into the Intelligent Transport System). We propose the classification of risks that will arise while transport system’s intellectualization. Classifier is made in accordance with risk characteristics that will allow directing efforts to prevent the most probable risks, as well as to reduce their severity in case of occurrence. We also suggest software based on a multiple-factor analysis of information that identifies the causes of critical situations. We have modified Haddon matrix, which allows determining factors that affect the number of accidents and the severity of their consequences, as well as the measures most effectively contributing to improving road safety. If recommendations’ implementation caused increase of road safety, the proposed software enters these scripts into the knowledge base. This has allowed us to conclude what actions have helped to increase road safety in the city and what have to be corrected. If recommended decisions haven’t had an expected positive effect, Haddon matrix was revised and adjusted in accordance with the actual results.