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Prediction of Railway Cargo Carrying Capacity in China Based on System Dynamics

机译:基于系统动态的中国铁路货物承载力预测

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Prediction of cargo carrying capacity provides a base for planning railway networks, decision-making about the operations of railway freight companies, and development of transport scheme. The application of system dynamics assists in the predication of railway cargo carrying capacity. Through the analysis of the key factors that influence cargo carrying capacity in the railway freight system, the boundary for railway cargo carrying capacity system is determined; the system cause-effect relationship containing six feedback loops is determined; the system flow and simulation formula is constructed; the model for the development of system dynamics-based railway cargo carrying capacity is constructed. With the statistical data about railway freight in China from 1900 to 2009, simulation tests are conducted to verify the effectiveness of the application of system dynamics model in the prediction of railway freight. The railway cargo carrying capacity is predicted from the time from 2011 to 2015. In 2015, it is predicted to reach 5.40486 billion tons. The error analyses indicate that the maximum error of system prediction is 2.66%.
机译:货物承载能​​力的预测为规划铁路网络,关于铁路货运公司运营的决策以及运输计划的发展提供了基础。系统动力学的应用有助于预测铁路货物承载力。通过分析影响铁路货运系统中货物承载能​​力的关键因素,确定了铁路货物承载能​​力系统的边界;确定包含六个反馈循环的系统原因效果关系;构建系统流动和仿真公式;构建了系统动态的铁路货物承载力的开发模型。随着1900年至2009年中国铁路货运的统计数据,进行了模拟测试,以验证系统动力学模型在铁路货运预测中的应用的有效性。从2011年到2015年的时间预测铁路货物承载能​​力。2015年,预计将达到5.404.86亿吨。错误分析表明系统预测的最大误差为2.66%。

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