首页> 外文会议>2016 2nd International Conference on Industrial Engineering, Applications and Manufacturing >Determination of minimum level of available carrying capacity of sections where the effective use of connected train formation and driving technology is possible
【24h】

Determination of minimum level of available carrying capacity of sections where the effective use of connected train formation and driving technology is possible

机译:确定可以有效利用相关列车编组和驱动技术的路段的可用承载力的最低水平

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

Periods of section work are established when using the connected train driving technology (CT), which does not depend on the level of section loads yminload. In other cases, efficiency of the CT technology depends on the effect produced by increasing carrying capacity. Minimum level of load yminload, if possible, is determined by the amount of traffic, for which delays of trains start when approaching to the sections. To determine the value yminload, a method of statistical simulation of train operation is developed (Monte Carlo method). Train flow dimensions are determined due to the fact that daily distribution can be described by a normal distribution law. Exceeding the daily amount of traffic as compared with available carrying capacity of sections allows determining the number of delayed trains on the way to the section. A computer program is developed; mass calculations are made for the average amount of traffic from 40 to 100 freight trains per day. The obtained value yminload equals to 0.8. This value may be applied at the practical work of JSC RZD when using the connected train driving technology.
机译:使用连接的火车驱动技术(CT)时,将确定路段的工作周期,该技术不取决于路段载荷yminload的水平。在其他情况下,CT技术的效率取决于增加的承载能力所产生的效果。最小负载水平yminload(如果可能)取决于交通量,在驶入路段时列车会开始延误。为了确定值yminload,开发了一种火车运行统计仿真的方法(蒙特卡罗方法)。确定火车流量的大小是由于可以通过正态分布定律描述每日分布。与路段的可用承载量相比,超出每日的交通量可以确定前往路段的延迟火车的数量。开发了计算机程序;每天计算40到100列货运列车的平均交通量。所获得的值yminload等于0.8。当使用连接的火车驱动技术时,此值可以在JSC RZD的实际工作中应用。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号