基于加速度计数据的驾驶员培训

Pub Date : 2020-05-05 DOI:10.46300/9109.2020.14.3
M. Vlkovský
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引用次数: 1

摘要

本文讨论了现代MEMS加速度计在驾驶员培训评估中的应用。使用来自Tatra 815在由4种类型的表面组成的训练多边形上的运输实验的数据,驾驶员完成了4个单独的圈。测试参数显示,根据驾驶风格和平均速度,所选圈数和表面(断面)之间存在统计学上的显著差异。从对乘坐情况的评估中可以清楚地看出,驾驶员在多边形上行驶时正在逐渐提高,正如假设的那样。然而,从某一时刻起,所产生的冲击的大小就超过了标准确定的值。设计部分确定了驾驶员培训期间对驾驶员驾驶特性的具体要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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Drivers Training based on Data from Accelerometer
In the article, the application of modern MEMS accelerometers to evaluate driver training is discussed. Data from a transport experiment with Tatra 815 on a training polygon consisting of 4 types of surfaces were used, and the driver completed 4 individual laps. The tested parameters showed statistically significant differences between selected laps and surfaces (sections) depending on the driving style and the average speed. It is clear from the evaluation of the ride that the driver is gradually improving when driving on the polygon, as assumed. However, from a certain moment the magnitude of generated shocks exceeds normatively determined values. The design part determines specific requirements on driving characteristics of a driver during a driver training.
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