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Application of probability and statistics methods in arrangement of railway transportation

机译:概率统计方法在铁路运输安排中的应用

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Complex economic and mathematical methods are becoming more widespread in training of specialists in the field of railroad communication arrangement. The purpose of this study is to develop an effective methodology for mathematical training of railway transportation specialists on the basis of active training methods. The article deals with application of probabilistic and statistical methods to problems in design of railway transportation, for example, fluctuations in loading of railway stations and distribution of the time interval between arrival of trains. Using the example of the flow of arriving trains, the technology of testing the hypothesis that the time between arrival of trains is distributed according to the exponential law and the hypothesis of independence of events in the flow is displayed in detail. When confirming each of these hypotheses, it must be concluded that the flow of trains arriving at the station is according to the simplest (Poisson’s) model. This conclusion allows using the apparatus of Markov chains to describe a random process.
机译:复杂的经济和数学方法在铁路通信安排领域的专家培训中变得越来越普遍。这项研究的目的是在主动培训方法的基础上,开发出一种有效的铁路运输专家数学培训方法。本文将概率和统计方法应用于铁路运输设计中的问题,例如,火车站负荷的波动和火车到达之间的时间间隔的分布。以到达火车的流程为例,详细介绍了检验火车到达之间的时间根据指数规律分布的假设以及事件中事件独立性的假设的测试技术。在确认上述每个假设时,必须得出的结论是,到达车站的火车流量是根据最简单的模型(泊松模型)得出的。该结论允许使用马尔可夫链的装置来描述随机过程。

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