USING ROAD ACCIDENT INJURY PREDICTION TO IMPROVE THE ARCHITECTURE OF INTELLIGENT TRANSPORT SYSTEMS IN URBAN AGGLOMERATIONS

The transport network of urban agglomerations is characterized by high dynamics of automobile and pedestrian flows. For maximum efficiency, they are separated by time and space, including using ITS. However, in the harmonious functioning of the transport hub, there are failures (accidents, repair work, complicated weather conditions, etc.), due to which the entire transport network can be para-lyzed. In such cases, a prompt response and traffic control based on the current situation is required. ITS successfully copes with this and the work presents a module for assessing injuries in accidents de-veloped for this system, which in turn is an innovative approach to improving road safety.