@article{WU2022, 
author = {Yanxia WU and Tong ZHOU and Shuai HUANG and Cheng YANG and Jiangang QIAO},
title = {Research on Roadside Environment Safety Based on Driver's Attention Distribution Model},
year = {2022},
journal = {Journal of South China University of Technology (Natural Science Edition)},
volume = {50},
number = {9},
pages = {49-57},
keywords = {highway, roadside environment, safety, eye movement, attention distribution},
url = {https://www.sciopen.com/article/10.12141/j.issn.1000-565X.20210802},
doi = {10.12141/j.issn.1000-565X.20210802},
abstract = {In order to explore the influence of the highway roadside environment on the driver's attention, optimize the roadside landscape and traffic sign settings, and improve the driving safety, this study determined the roadside environment risk level interval by quantitatively analyzing the driver's attention distribution. Four types of typical scene were selected according to the actual state of the roadside environment, and field driving tests were carried out to collect data such as driver's eye movement parameters and heart rate. The driver's eye movement on the corresponding road section was analyzed, including fixation behavior, scan behavior and blinking behavior. On this basis, the obvious eye movement index that characterizes the driver's attention was determined as the fixation parameter. According to the actual scene corresponding to the driver's fixation point and the position of the point in the visual field, the driver's visual field area was divided into three parts, namely the roadside area (S area), the way area (W area) and the car area (C area). By constructing the driver's attention distribution model, the roadside environment was quantified and expressed by the ratio of attention region. The relationship model between the ratio of attention region and the driver's heart rate growth rate was established, and the risk level interval was divided. The results show that the complexity of the roadside environment has a significant impact on the driver's eye movement behavior. Compared with scan and blink, the driver's fixation parameter can significantly characterize the driver's attention state. When driving on the road, the driver's fixation point moves in the view field, the ratio of attention region is the ratio of cumulative fixation time in the S area and the total fixation time of the S area and the W area. Its safety interval is [9.93%, 62.10%], the risk interval is [6.44%, 9.93%) and (62.10%, 76.93%], and the danger interval is [0, 6.44%) and (76.93%, 100%]. This research can provide a reference for the safety evaluation and decision-making of roadside landscape improvement.}
}