Mortality from road accidents continues to rise, amounting to 1.35 million deaths per year. It is emphasized that today injuries as a result of road accidents are the main cause of children death and young people aged 5-29 years and the three main causes of person’s death aged 5 to 44 years. Studies of road safety various aspects in different countries have shown that the world has long and steadily formed a global problem of irregular road accidents. First of all, the inverse dependence of the emergency risk on the material well-being of countries is clearly visible. The risk of death as a result of road accidents in low-income countries is three times higher than in high-income countries. The highest rates are in Africa (26.6 cases per 100,000 people) and the lowest in Europe (9.3 cases per 100,000 people). In addition, in recent years, experts are trying to link the actual accident rate in countries with the life quality of their populations. Quality of life as a concept includes not only the material level but also the satisfaction of spiritual needs, health, life expectancy, environmental conditions, moral and psychological climate, emotional comfort, etc., which ultimately determines the transport culture of the population. In this regard, it is of interest to identify links between the results of rating assessments of the people life quality in different countries and the level of these countries road safety typical. To do this, first of all it is necessary to assess the economic factors impact on the motorization level, which is insufficiently studied. The purpose is to determine the dependences of the economic factors impact, namely gross domestic product per capita and average wages, on the motorization level. The data for the study were taken from official statistical sources. The results were processed by methods of mathematical statistics and regression analysis. According to the results of the experiments, regression models were obtained for European countries; Asia and Oceania; The Middle East; Africa; North, Central America and the Caribbean; South America. The comparison of the simulated values and the initial data showed a high degree of correlation. The originality lies in the fact that the regularities of the economic factors influence on the motorization level are investigated, which makes it possible to obtain predicted values in the future. Improving the efficiency and safety of vehicles on the road network is possible based on the use of the motorization level predicted values in research. The obtained research results can be used to determine the feasibility of introducing certain measures to organize traffic.

The work is devoted to the actual problem of determining the parameters of dense traffic flows on the road cities network, which can be used when introducing automated traffic control systems. The subject of the study is to determine the parameters of traffic flows in the central part of the city. The purpose of the work is to develop methods for determining the parameters of traffic flows of the street and road network on the basis of empirical and analytical modeling to reduce the number of peripheral measuring devices in the automated traffic control system. Methodology. In the given thesis there was solved the applied scientific problem of short-term operational forecasting of the traffic flow intensity on the transport network using the empirical-analytical approach, in which the measurement of traffic flow parameters at the entrances to the area of traffic flow management is carried out by transport detectors, internal local objects are determined by modeling. The proposed model is based on the determination of intensities at approaches to stop lines of internal crossroads of the management area using recurrent sequences. Experimental researches of traffic flows on the network and on the crossings were carried out using video filming during periods of maximum load. A comparative analysis of the simulation results with the experimental data showed that the relative error on a network with an area of 50-60 hectares does not exceed 3%, which indicates the adequacy of the model and the possibility of using it for management tasks. Practical implications. Implementation of the empirical-analytical method in automated traffic management systems will make it possible to reduce the number of detectors by 43-46% depending on the area of traffic management and obtain a sufficient economic effect. The regularities of the movement of dense traffic flows of high specific intensity on short hauls, typical for the central parts of cities, have been investigated. Value/originality. According to experimental results there were obtained approximating models of parameters of the logarithmic normal probabilistic law of time intervals distribution in dense traffic flows, the specific intensity of which exceeds 600 vph; the changes in basic characteristics of the vehicles group in the traffic flow when driving through the road crossing taking into account its intensity and the distance from the group forming object are determined.

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