@article{ref1,
title="Drivers' lane-keeping ability in heavy rain: preliminary investigation using SHRP 2 Naturalistic Driving Study data",
journal="Transportation research record",
year="2017",
author="Ghasemzadeh, Ali and Ahmed, Mohamed M.",
volume="2663",
number="",
pages="99-108",
abstract="There is a lack of studies that have examined the impact of weather conditions on drivers' lane-keeping performance. Many driver behavior studies have been conducted in simulated environments. However, no studies have examined the impact of heavy rain on lane-keeping ability in naturalistic settings. A study used data from the SHRP 2 Naturalistic Driving Study to provide better insights into driver behavior and performance in clear and rainy weather conditions. In particular, a lane-keeping model was developed using logistic regression to better understand factors affecting drivers' lane-keeping ability in different weather conditions. One interesting finding of this research is that heavy rain can significantly increase the standard deviation of lane position, which is a widely used method for analyzing lane-keeping ability. More specifically, drivers in heavy rain are 3.8 times more likely to show a higher standard deviation of lane position than in clear weather condition. An additional interesting finding is that drivers have better lane-keeping abilities in roadways with higher posted speed. <br><br>RESULTS from this study could provide a better understanding of the complex effects of weather conditions on drivers' lane-keeping ability and how drivers perceive and react in different weather conditions. <br><br>RESULTS from this study may also provide insights into automating the activation and deactivation of lane departure warning systems.<p /> <p>Language: en</p>",
language="en",
issn="0361-1981",
doi="10.3141/2663-13",
url="http://dx.doi.org/10.3141/2663-13"
}