模拟城市条件下可变虚拟时间增量的交通运行

A. Manyashin
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引用次数: 1

摘要

在研究城市条件下车辆的运行模式时,必须考虑到其某些参数随时间变化的特殊性,例如动力装置传动轴的速度或转动速度。这些指标具有周期性变化,周期的类型取决于经营周期的长短。您可以在上述参数中识别典型的更改周期,这些参数对于工作班次、日历周、月等来说是典型的。在所有考虑的周期内,参数值的“衰落”周期是重复的。在仿真模型中再现机车车辆性能指标时,必须考虑到这些特征。这项工作的目的是在模拟其性能指标时考虑运输运行周期的特殊性。作者开发的Stamm程序使用两种方法来模拟动态过程或系统。第一种是使用像Microsoft Excel这样允许单元格之间交叉引用的电子表格,第二种是使用可视化对象模型。这两种方法都允许我们在模拟实验期间通过动态改变建模步骤的值来考虑运输操作周期的特征。当使用表模型时,这是一个用于同步模型时间步骤的特殊单元格。在第二种情况下,改变虚拟模型时间阶跃的算法使用系统动力学模型的特殊组件的逻辑表达式“公式”来实现,所提出的方法在不损失仿真模型准确性的情况下大大减少了实验研究的时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SIMULATION OF TRANSPORT OPERATION IN URBAN CONDITIONS WITH VARIABLE VIRTUAL TIME INCREMENTS IN THE PROGRAM STAMM 4.1
When studying the operating modes of a vehicle in urban conditions, it is necessary to take into account the peculiarities of changing some of its parameters over time, such as the speed or speed of rotation of the drive shaft of the power plant. There is a cyclical change in these indicators, and the type of cycles depends on the duration of the period of operation. You can identify typical cycles of changes in the above parameters that are typical for a work shift, calendar week, month, and so on. Within all the considered cycles, the periods of “fading” of parameter values are repeated. These features must be taken into account when reproducing the performance indicators of rolling stock in simulation models. The purpose of this work is to take into account the peculiarities of transport operating cycles when simulating its performance indicators. The Stamm program developed by the author uses two approaches for simulation of dynamic processes or systems. The first is using spreadsheets like Microsoft Excel that allows cross-referencing between cells, and the second is using visual object models. Both of these approaches allow us to take into account the features of operational cycles of transport by dynamically changing the value of the modelling step during the simulation experiment. When using a table model, this is a special cell for synchronizing the model time step. In the second case, the algorithm for changing the step of virtual model time is implemented using logical expressions in special components of system dynamics models – “Formula” The proposed approach significantly reduces the time of experimental research without losing the accuracy of the simulation model.
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