拥堵道路环境中驾驶员变道行为的特点

IF 2.7 4区 工程技术 Q2 TRANSPORTATION SCIENCE & TECHNOLOGY Transportation Safety and Environment Pub Date : 2023-11-21 DOI:10.1093/tse/tdad039
Wanqi Wang, Guozhu Cheng
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引用次数: 0

摘要

变道行为是驾驶行为中较为复杂的驾驶行为。驾驶员的变道行为可能加剧拥堵,但驾驶员的行为特征难以准确获取和量化,因此在现有的变道模型中往往被简化或忽略。本文采用 Bik-means 聚类算法对城市道路拥堵状态判别方法进行分析。然后,模拟不同交通拥堵状况下的驾驶场景进行模拟驾驶测试。通过力反馈系统和红外摄像机,分别获取了不同交通拥堵程度下驾驶员变道行为的数据,确定了车辆变道起点和终点的定义。此外,还对不同交通拥堵程度下的驾驶员变道行为数据和视觉数据等关键特征参数进行了统计分析和讨论。研究发现,各拥堵状态下的平均变道意图时间分别为 2s、4s、6s 和 7s,而转向灯持续时间和后视镜观察次数与变道意图持续时间数据具有相似的变化规律。此外,驾驶员的瞳孔直径在变道意图阶段变小,然后在变道过程中相对变大,瞳孔变化范围大致为 3.5-4 毫米。观察目标车道前方车辆的频率随着拥堵程度的增加而增加,驾驶员在变道时观察后视镜的频率比直行时增加了约一倍,且这一比例随着拥堵程度的增加而增加。
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The Characteristics of Driver Lane-Changing Behavior in Congested Road Environments
Lane changing behavior is a more complex driving behavior among driving behaviors. The lane changing behavior of drivers may exacerbate congestion, however, driver behavioral characteristics are difficult to be accurately acquired and quantified, and thus tend to be simplified or ignored in existing lane changing models. In this paper, the Bik-means clustering algorithm is used to analyze the urban road congestion state discrimination method. Then, simulated driving scenarios under different traffic congestion conditions for simulated driving tests. Through the force feedback system and infrared camera, the data of driver lane-changing behaviors at different traffic congestion levels are obtained separately, and the definitions of the starting and ending points of a vehicle changing lanes are determined. Furthermore, statistical analysis and discussion of key feature parameters including driver lane-changing behavior data and visual data under different levels of traffic congestion were conducted. It is found that the average lane change intention times in each congestion state are 2s, 4s, 6s and 7s, while the turn signal duration and the number of rearview mirror observations have similar patterns of change to the data on lane-changing intention duration. Moreover, drivers’ pupil diameters become smaller during the lane-changing intention phase, and then relatively enlarge during lane-changing, the range of pupil variation is roughly 3.5-4 mm. The frequency of observing the vehicle in front of the target lane increased as the level of congestion increased, and the frequency of observation in the driver's mirrors while changing lanes approximately doubled compared to driving straight ahead, and this ratio increased as the level of congestion increased.
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来源期刊
Transportation Safety and Environment
Transportation Safety and Environment TRANSPORTATION SCIENCE & TECHNOLOGY-
CiteScore
3.90
自引率
13.60%
发文量
32
审稿时长
10 weeks
期刊最新文献
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