选定军用卡车和路面货物安全的统计建模

Jiri Neubauer, M. Vlkovský, Jaroslav Michalek
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引用次数: 0

摘要

新技术(如三轴加速度计)的发展及其在武装部队中的应用,使得获取有关货物固定的运输数据变得相当容易。不过,关键是要对这些数据进行评估,并找出对选择合适的货物固定系统非常重要的因素。应特别注意在低质量道路上的运输,或可能在地形中的运输,因为预计货物(以及车辆和驾驶员)会受到更大的冲击。从军事运输试验中获得的数据已使用先进的统计方法(污染概率分布、统计比较方法和方差分析)进行了处理。对两辆军用卡车在三种不同路面上的运输数据进行了比较。结果表明,就超过规范确定的加速度系数值的频率而言,在哪些轴上存在与路面类型和车辆类型相关的显著统计学差异。进一步的结果基于使用受污染的对数正态分布对加速度系数进行建模,其中加速度系数值的分布受到运输条件突然变化导致的异常值的污染。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Statistical modeling of cargo securing on selected military trucks and road surfaces
The development of new technologies (e.g., three-axial accelerometers) and their implementation to the armed forces made it possible to rather easily obtain data on transportation with regard to cargo securing. It is, however, crucial to evaluate the data, and identify the factors important for the selection of an appropriate cargo securing system. Particular attention should be paid to the transportation on low-quality roads, or possibly in the terrain as it can be expected that the cargo (as well as the vehicle and the driver) is subjected to greater shocks. Data obtained from the military transport experiment have been processed using advanced statistical methods (a contaminated probability distribution, methods of statistical comparison, and an analysis of variance). The transportation data from the use of two military trucks on three different road surfaces has been compared. The results show, in which axes there are statistically significant differences in terms of the frequency of exceeding normatively determined acceleration coefficient values in relation to the road surface type and the vehicle type. Further results are based on the modeling of acceleration coefficients using a contaminated log-normal distribution, where the distribution of acceleration coefficient values is contaminated by outliers resulting from sudden changes in the transport conditions.
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