利用分段回归建立最优照度以保证行人安全

B. Portnov, S. Fotios, R. Saad, D. Kliger
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引用次数: 3

摘要

天黑后道路照明对行人安心的最佳照度为超过该照度后,再增加照度对安心效果无显著影响。以前的研究并没有给出最佳照度的精确估计。目前的研究调查了分段回归用于定义最佳照度的使用,应用于由380名测试参与者在以色列三个城市的253个地点记录他们的保证评估的25662次保证评估。与未分割的模型相比,分段回归模型更符合经验数据,并提供了最优照度的精确估计,根据位置的不同,这些估计从8.9 lx到26 lx不等。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Establishing optimal illuminance for pedestrian reassurance using segmented regression
The optimal illuminance from road lighting for pedestrian reassurance after dark is that beyond which further increase in illuminance has no significant effect on reassurance. Previous studies have not revealed a precise estimate of optimal illuminance. The current study investigates the use of segmented regression for defining optimal illuminance, applied to 25 662 reassurance evaluations by 380 test participants who recorded their reassurance assessments in 253 locations in three cities in Israel. Segmented regression led to models which better fit the empirical data than their unsegmented counterparts and offered precise estimates of optimal illuminance, these ranging from 8.9 lx to 26 lx, depending on location.
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