Abstract
Continuous development of transport infrastructure raises requirements for transport safety. Road transport is the most emergency-prone and leading in the number of tragic consequences as well as financial and physical damage. Many accidents transform into emergencies (these include accidents with fatalities of at least 5 people or with the number of injured of at least 10 people). Damage from emergencies depends on the quality of managerial decisions taken at the response of rescue services. To solve the problem of taking qualitative managerial decisions, it is suggested to create an intelligent system based on expert knowledge and analysis of data from multiple precedents. It is suggested to use an artificial neural network that would solve the classification problem in the assessment of the scale of an accident or emergency. The decision on the number of emergency response manpower and resources and their distribution for accident or emergency response is made on the basis of such assessment.
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