@article{ref1,
title="Research on the classification for road traffic visibility based on the characteristics of driving behaviour - a driving simulator experiment",
journal="Journal of intelligent and connected vehicles",
year="2020",
author="Wang, Kun and Zhang, Weihua and Feng, Zhongxiang and Wang, Cheng",
volume="3",
number="1",
pages="30-36",
abstract="PURPOSE The purpose of this paper is to perform fine classification of road traffic visibility based on the characteristics of driving behavior under different visibility conditions. <br><br>DESIGN/METHODOLOGY/APPROACH A driving simulator experiment was conducted to collect data of speed and lane position. ANOVA was used to explore the difference in driving behavior under different visibility conditions. <br><br>FINDINGS The results show that only average speed is significantly different under different visibility conditions. With the visibility reducing, the average vehicle speed decreases. The road visibility conditions in a straight segment can be divided into five levels: less than 20, 20-30, 35-60, 60-140 and more than 140 m. The road visibility conditions in a curve segment can be also divided into four levels: less than 20, 20-30, 35-60 and more than 60 m. <br><br>ORIGINALITY/VALUE A fine classification of road traffic visibility has been performed, and these classifications help to establish more accurate control measures to ensure road traffic safety under low-visibility conditions.<p /> <p>Language: en</p>",
language="en",
issn="2399-9802",
doi="10.1108/JICV-10-2019-0011",
url="http://dx.doi.org/10.1108/JICV-10-2019-0011"
}