The article discusses the issue of effective distribution of work on formation of train network between the stations of industrial and mainline rail transport. The analysis is worked out of difficulties in the interaction of technological systems of railway transport of common and uncommon use and risks of the transport stream delays. The strategy for sorting of wagons and a complex of interconnected mathematical models is developed. The proposed solution method is based on step-by-step distribution of traffic volumes over the network through valid assignments of trains with subsequent calculation of the compromise management, taking into account the interests of each owner of transport infrastructure and each individual member of the transport and logistics chains.
The article proposes methodological principles for substantiating the specialization of main railway lines based on the primary types of passenger or freight traffic in order to improve the level of transport services, economic efficiency, and reliability of the transportation process. The search for a solution to the problem provides a rational distribution of transport flows and investment measures, with the subsequent finding of a compromised operation for a set of effective alternatives.
В статье решается задача по определению границ участков концентрации транспортных происшествий с участием судов на реках Волге и Каме в границах республики Татарстан. Для этого создана база данных по транспортным происшествиям с участием различных видов флота за период наблюдения с 2007 по 2018 гг. Методика определения границ участков концентрации транспортных происшествий основывается на расчете плотности транспортных происшествий на участках с различными условиями формирования рисков и сравнении ее с усредненным количеством транспортных происшествий на исследуемых участках водного пути, а также последующей проверке гипотезы о нормальности эмпирического распределения количества транспортных происшествий на участках с повышенной плотностью транспортных происшествий. Границы участков определены при уровне значимости равном 0,05. В результате выполненных исследований выявлено наличие 13 участков концентрации транспортных происшествий на рассматриваемых водных объектах, установлено наличие значительных смещений границ участков концентрации транспортных происшествий на реке Волге при рассмотрении различных периодов наблюдения с 1980 по 2018 гг., сделаны предложения по практическому применению полученных результатов и дальнейшему совершенствованию методики определения границ участков концентрации транспортных происшествий в части применения методов непараметрической статистики, вариантов оценки плотности транспортных происшествий и учета субъектов Российской Федерации.
The article solves the problem of determining the boundaries of areas of concentration of transport accidents involving ships on the Volga and Kama rivers within the borders of the Republic of Tatarstan. For this purpose, a database was created on transport accidents involving various types of fleet for the observation period from 2007 to 2018. The method for determining the boundaries of traffic accident concentration areas is based on calculating the traffic accident density in areas with different risk formation conditions and comparing it with the average number of traffic accidents in the studied sections of the waterway, as well as subsequent testing of the hypothesis about the normality of the empirical distribution of the number of traffic accidents in areas with high traffic accident density. Plot boundaries are defined at a significance level of 0.05. As a result of performed studies revealed the presence of 13 areas of concentration of accidents in the considered water bodies, the presence of significant movement of boundaries of the areas of concentration of traffic accidents on the Volga river when considering different time periods from 1980 to 2018 made suggestions on the practical application of the obtained results and the further improvement of a technique of definition of boundaries of the areas of concentration of accidents in the application of methods of nonparametric statistics, options for assessing the density of traffic accidents and accounting for the subjects of the Russian Federation.
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