我分析了两种不同的情况,两种不同的情况,两种不同的情况

OPSI Pub Date : 2022-06-18 DOI:10.31315/opsi.v15i1.6757
Winda Halim, Anggie Ervany Haryono
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引用次数: 0

摘要

造成交通事故最主要的因素是人为因素,如司机打瞌睡。其他可能导致交通事故的分心因素是使用手机。本实验通过驾驶模拟器来证明这一点。实验设计将分为3个阶段,从阶段1(简单),阶段2(中等)和阶段3(困难)开始。主观测量采用卡罗林斯卡嗜睡量表(KSS),客观测量采用心率(bpm),并记录驾驶误差数据。收集到的数据将使用双向方差分析方法进行处理,以找到影响因素。基于主观数据的测试结果在被调查者更清醒的第三阶段存在差异。同时,根据心率测量的客观数据,预测阶段与第二阶段和第三阶段之间存在差异。如果以驾驶失误为基础,第一阶段与第二阶段和第三阶段是不同的。根据数据处理的结果,得出高密度的路况可以增加驾驶员的警觉性,那么手机的使用对驾驶行为的发生有重大影响
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analisa Kantuk dengan Karolinska Sleepiness Scale dan Denyut Jantung saat Mengemudi dengan Tiga Tahap Kesulitan Jalan Menggunakan Driving Simulator
The most dominant factor causing traffic accidents is the human factor, such as sleepy driver. Other distraction factors that can cause traffic accidents is the use of cell phones. This experiment was conducted to prove this by using a driving simulator. The experimental design will be divided into 3 stages, starting from stage 1 (easy), stage 2 (moderate), and stage 3 (difficult). This study was measured using subjective measurements using the Karolinska Sleepiness Scale (KSS) method, and objective measurement by measuring heart rate (bpm), and recording driving error data. The data collected will be processed using the Two Way Anova method to find the influencing factors. The results of the test based on subjective data there are differences in stage 3 where respondents are more awake. Meanwhile, based on objective data on heart rate measurements, there are differences between the pretest stage with stages 2 and 3. If based on driving errors, stage 1 is different from stages 2 and 3. Based on the results of data processing, it is obtained that road conditions that have a high density can increase driver alertness, then the use of mobile phones has a major influence on the occurrence of driving
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