为了探究高速公路路侧环境对驾驶员注意力的影响，优化路侧景观和交通标志设置，提高行车安全性，通过量化分析驾驶员的注意力分布确定了路侧环境风险等级区间。根据路侧环境实际状态选择四类典型路段场景，开展实地驾驶试验采集驾驶员的眼动参数、心率等数据，并分析对应路段上驾驶员眼动规律，包括注视行为、扫视行为和眨眼行为，在此基础上确定表征驾驶员的注意力的显著眼动指标为注视参数。根据驾驶员注视点对应的实际景物并结合注视落点在视野平面中的位置，划分驾驶员的视野区域为路侧环境区（S区）、前方道路区（W区）和车身仪表区（C区），构建驾驶员注意力分布模型，确定以路侧环境注意力占比值量化表达路侧环境，建立其与驾驶员心率增长率之间的关系模型并划分风险等级区间。结果显示：路侧环境的复杂程度对驾驶员的眼动行为有明显影响，相对于扫视和眨眼，驾驶员的注视参数可显著表征驾驶员的注意力状态，行车过程中驾驶员的关注点在视野平面内移动，路侧环境注意力占比值为S区的累计注视时间和S区与W区注视总时间的比值，其安全区间为［9.93%，62.10%］，风险区间为［6.44%，9.93%）和（62.10%，76.93%］，危险区间为［0，6.44%）和（76.93%，100%］。研究结果可以为路侧景观和标志设计的安全性评价和改善决策提供参考依据。

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.