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汽车安全与节能学报 ›› 2026, Vol. 17 ›› Issue (3): 388-396.DOI: 10.3969/j.issn.1674-8484.2026.03.011

• 智能驾驶与智慧交通 • 上一篇    下一篇

草原公路牲畜占道场景下驾驶人接管稳态研究

王海晓1(), 张航2, 高明星1,*(), 季天行1, 王清菊3   

  1. 1 内蒙古农业大学 能源与交通工程学院呼和浩特 010018, 中国
    2 雷沃重工集团有限公司青岛 266500, 中国
    3 北京津发科技股份有限公司北京 100085, 中国
  • 收稿日期:2025-05-13 修回日期:2026-05-13 出版日期:2026-06-30 发布日期:2026-07-02
  • 通讯作者: *高明星,教授。E-mail:gaomingxing_2000@imau.edu.cn
  • 作者简介:王海晓(1981—),女(汉),内蒙古,教授。E-mail:wanghx@imau.edu.cn
  • 基金资助:
    内蒙古自然科学基金资助项目(2024LHMS05024);内蒙古创新团队发展计划资助项目(NMGIRT2304)

Research on the steady-state of driver takeover in scenarios involving livestock obstructing grassland highways

WANG Haixiao1(), ZHANG Hang2, GAO Mingxing1,*(), JI Tianxing1, WANG Qingju3   

  1. 1 College of Energy and Traffic Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China
    2 LoVol Heavy Industry Group Co., Ltd, Qingdao 266500, China
    3 KingFar International Inc., Beijing 100085, China
  • Received:2025-05-13 Revised:2026-05-13 Online:2026-06-30 Published:2026-07-02

摘要:

为了探究草原公路特有动态场景下不同接管请求方案对接管稳态的影响,基于驾驶模拟技术搭建草原公路牲畜占道场景,设置 4 种接管提示方案,即视觉提示(VA)、视觉提示+触觉提示(VTA)、视觉提示+听觉提示(VAA)、视觉提示+触觉提示+听觉提示(VATA)。将驾驶接管全周期按时间维度划分为接管初期与接管后期,引入生存概率模型,结合基础指标进行数据包络分析(DEA),评估接管稳态效能。结果表明:VTA 与 VATA组合在生存时间上表现优异,VTA 模态下接管反应最快,为 0.52 s;接管初期,带有听觉的组合可将驾驶人的认知-稳态转换综合效益提高 7.2%;接管后期,触觉与听觉对稳态转化效益的提升呈协同作用,视觉叠加其他模态均有助于提升稳态表现,VATA 组合较其他方案稳态转化效益提高 13.9%。

关键词: 草原公路, 接管稳态, 生存分析, 数据包络分析(DEA)

Abstract:

A livestock occupation scenario was constructed using driving simulation technology to investigate the impact of different takeover alert schemes on the takeover steady-state performance in specific dynamic scenarios of grassland highways. 4 takeover alert schemes were established: visual alert (VA), visual combined with tactile alert (VTA), visual combined with auditory alert (VAA), visual combined with both auditory and tactile alert (VATA). The entire driving takeover process was divided into initialy takeover phase and later takeover phase based on temporal dimensions, using survival probability model and data envelopment analysis (DEA), in conjunction with fundamental indicators to assess the effectiveness of takeover steady-state transitions. The results indicate that VTA and VATA demonstrates superior performance in terms of survival time, the takeover response is most rapid in the VTA, with a takeover response time of 0.52 s; in the initial takeover phase, integrating auditory alerts can enhance the driver's cognitive-homeostasis transition by 7.2%; in the later takeover phase, the synergistic interaction between tactile and auditory significantly enhances the steady-state transformation benefits, the integration of visual with other modalities contributes to improved steady-state performance, specifically, the steady-state transformation benefits of the VATA is 13.9% higher than alternative schemes.

Key words: grassland highways, takeover steady-state, survival analysis, data envelopment analysis (DEA)

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