车路协同下浓雾天气对高速公路换道行为的影响分析
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U491.26

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无人驾驶类人决策的图谱建模与迁移泛化,国家自然科学基金项目(面上项目,重点项目,重大项目)


Analysis of the influence of heavy fog on highway lane-changing behavior under intelligent vehicle infrastructure cooperative systems
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    摘要:

    为探究车路协同下浓雾天气对驾驶员在高速公路换道行为的影响,依托驾驶模拟实验平台设计车路协同人机交互终端(HMI),设置对照组、正常天气+HMI组、浓雾天气组和浓雾天气+HMI组四种实验场景,招募43名被试进行驾驶模拟实验,采集换道行为数据。从中提取换道过程,将其划分为换道决策与换道执行两个阶段,选取方向盘转角、横向加速度以及横向偏移量的变化幅度与方差表征换道决策阶段的行为特征;选取换道轨迹长度、换道时间、换道平均车速与横向加速度峰值刻画换道执行阶段的行为特征,最后采用广义线性模型对所选变量进行分析。结果表明:浓雾天气、HMI以及两者的交互效应均对驾驶员的换道行为存在显著影响。在换道决策阶段,浓雾天气导致横向加速度以及横向偏移量的变化幅度与方差显著减小(p<0.05);HMI导致方向盘转角、横向加速度等变量显著减小(p<0.05);但两者的交互效应导致各变量(除横向加速度的变化幅度)显著增大(p<0.05)。在换道执行阶段,浓雾天气导致换道轨迹长度(p=0.01)和换道平均车速(p=0.00)显著减小,HMI仅对横向加速度的第一峰值(p=0.02)存在显著影响。研究结果可为浓雾天气下高速公路安全管理提供参考。

    Abstract:

    To explore the impact of heavy fog on drivers' lane-changing behavior on expressways in intelligent vehicle infrastructure cooperative systems, this study relies on a driving simulation experiment platform to design a human-machine interface (HMI) under intelligent vehicle infrastructure cooperative systems. Weather + HMI group, heavy fog group, and heavy fog + HMI group were used in four experimental scenarios. 43 subjects were recruited to conduct the driving simulation experiment, and the data on the subjects' lane-changing behavior were collected. The lane-changing process is extracted and divided into two stages: lane-changing decision and lane-changing execution. The variation range and variance of the steering wheel angle, lateral acceleration, and lateral offset are selected to characterize the behavior characteristics of the lane-changing decision stage; the lane-changing trajectory length, lane-changing time, lane-changing average vehicle speed, and lateral acceleration peak are selected to describe the behavior characteristics of the lane-changing execution stage. Finally, a generalized linear model was used to analyze the selected variables. The results show that: heavy fog, HMI, and the interaction effect have a significant impact on the driver's lane changing behavior. In the lane-changing decision stage, the variation range and variances of lateral acceleration and lateral offset caused by heavy fog were significantly reduced (p<0.05); variables such as steering wheel angle and lateral acceleration were significantly reduced by HMI (p<0.05); the interaction effect causes a significant increase in all variables except the change range of lateral acceleration (p<0.05). In the lane-changing execution stage, the heavy fog causes a significant reduction in the lane-changing trajectory length (p=0.01) and the lane-changing average vehicle speed (p=0.00), and the HMI only had a significant effect on the first peak of lateral acceleration (p=0.02). The research results can provide a reference for highway safety management in heavy fog.

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刘钦,李振龙,赵晓华,等. 车路协同下浓雾天气对高速公路换道行为的影响分析[J]. 科学技术与工程, 2023, 23(21): 9306-9314.
Liu Qin, Li Zhenlong, Zhao Xiaohua, et al. Analysis of the influence of heavy fog on highway lane-changing behavior under intelligent vehicle infrastructure cooperative systems[J]. Science Technology and Engineering,2023,23(21):9306-9314.

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  • 收稿日期:2022-05-19
  • 最后修改日期:2023-05-10
  • 录用日期:2023-03-08
  • 在线发布日期: 2023-07-25
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