• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于雾天相关动态低能见度环境下识别时间的合理驾驶速度限制——驾驶模拟器研究。

Reasonable driving speed limits based on recognition time in a dynamic low-visibility environment related to fog-A driving simulator study.

机构信息

School of Transportation Science and Engineering, Beihang University, Beijing 102206, PR China.

School of Automobile and Traffic Engineering, Hefei University of Technology, Hefei 230009, Anhui, PR China.

出版信息

Accid Anal Prev. 2021 May;154:106060. doi: 10.1016/j.aap.2021.106060. Epub 2021 Mar 8.

DOI:10.1016/j.aap.2021.106060
PMID:33706024
Abstract

To determine a reasonable speed limit and ensure traffic safety in a dynamic low-visibility environment with fog, a driving simulator study was conducted. A total of 31 young participants were recruited, and each completed 5 driving simulator trials under varying visibility conditions and speed levels during the daytime. The combined coupling effect of the visibility and driving speed on drivers' recognition times was explored, and a quantitative model of the recognition time, visibility, and driving speed was established. A determination method and suggested value of a reasonable driving speed limit in dynamic low-visibility conditions were proposed based on the stopping sight distance model. The results show that there are significant differences in the recognition times of drivers under different visibility and speed conditions. The reasonable driving speed limit values in dynamic low-visibility conditions should be based on visibility changes. When the stopping sight distance is 75 m and the visibility is less than 35 m, the speed limit should be 20 km/h. When the visibility is between 35 m and 60 m, the speed limit should be 30 km/h. When the visibility is between 60 m and 140 m, the speed limit should be 50 km/h. When the visibility is greater than 140 m, the speed limit should be 60 km/h. These research results can provide a theoretical reference for the formulation of a VSL in a dynamic low-visibility environment related to fog and reduce crash risk in conditions of inadequate visibility in fog.

摘要

为了在雾天这种动态低能见度环境中确定合理的限速以保障交通安全,进行了一项驾驶模拟器研究。共招募了 31 名年轻参与者,他们在白天的不同能见度条件和速度水平下完成了 5 次驾驶模拟器试验。研究探讨了能见度和驾驶速度对驾驶员识别时间的综合耦合效应,并建立了识别时间、能见度和驾驶速度的定量模型。基于停车视距模型,提出了在动态低能见度条件下确定合理驾驶速度限制的方法和建议值。结果表明,在不同能见度和速度条件下,驾驶员的识别时间存在显著差异。在动态低能见度条件下,合理的驾驶速度限制值应基于能见度的变化。当停车视距为 75 米且能见度小于 35 米时,限速应为 20 公里/小时。当能见度在 35 米至 60 米之间时,限速应为 30 公里/小时。当能见度在 60 米至 140 米之间时,限速应为 50 公里/小时。当能见度大于 140 米时,限速应为 60 公里/小时。这些研究结果可为制定与雾相关的动态低能见度环境中的 VSL 提供理论参考,降低雾天低能见度条件下的碰撞风险。

相似文献

1
Reasonable driving speed limits based on recognition time in a dynamic low-visibility environment related to fog-A driving simulator study.基于雾天相关动态低能见度环境下识别时间的合理驾驶速度限制——驾驶模拟器研究。
Accid Anal Prev. 2021 May;154:106060. doi: 10.1016/j.aap.2021.106060. Epub 2021 Mar 8.
2
Effects of connected vehicle-based variable speed limit under different foggy conditions based on simulated driving.基于模拟驾驶的不同雾天条件下车联网可变限速的效果。
Accid Anal Prev. 2019 Jul;128:206-216. doi: 10.1016/j.aap.2019.04.020. Epub 2019 May 2.
3
Maximum acceptable speed based on physiological performance for different alignments of rural roads under the influence of visibility in fog-a driving simulator study.基于雾天视距影响下不同乡村道路线形的生理绩效的最大可接受速度——驾驶模拟器研究。
Traffic Inj Prev. 2020;21(2):145-150. doi: 10.1080/15389588.2020.1724978. Epub 2020 Mar 3.
4
Investigating factors influencing drivers' speed selection behavior under reduced visibility conditions.研究在能见度降低条件下影响驾驶员速度选择行为的因素。
Traffic Inj Prev. 2018 Jul 4;19(5):488-494. doi: 10.1080/15389588.2018.1453134. Epub 2018 May 17.
5
Speed choice and driving performance in simulated foggy conditions.模拟雾天条件下的速度选择与驾驶表现。
Accid Anal Prev. 2011 May;43(3):698-705. doi: 10.1016/j.aap.2010.10.014. Epub 2010 Dec 15.
6
Evaluation of cooperative systems on driver behavior in heavy fog condition based on a driving simulator.基于驾驶模拟器的浓雾条件下驾驶员行为协同系统评价。
Accid Anal Prev. 2019 Jul;128:197-205. doi: 10.1016/j.aap.2019.04.019. Epub 2019 May 1.
7
Correlation between visibility and traffic safety visual distance in foggy areas during the daytime.白天雾天可见度与交通安全视距之间的相关性。
Traffic Inj Prev. 2021;22(7):514-518. doi: 10.1080/15389588.2021.1916924. Epub 2021 Aug 2.
8
Driving in fog: the effects of driving experience and visibility on speed compensation and hazard avoidance.雾天驾驶:驾驶经验和能见度对速度补偿和避险的影响。
Accid Anal Prev. 2012 Sep;48:472-9. doi: 10.1016/j.aap.2012.03.003. Epub 2012 Mar 28.
9
The effects of visibility conditions, traffic density, and navigational challenge on speed compensation and driving performance in older adults.视认条件、交通密度和航行挑战对老年人速度补偿和驾驶表现的影响。
Accid Anal Prev. 2010 Nov;42(6):1661-71. doi: 10.1016/j.aap.2010.04.005. Epub 2010 May 15.
10
Optimization of colored pavement considering driving behavior and psychological characteristics under dynamic low-visibility conditions related to fog-a driving simulator study.考虑雾天相关动态低能见度条件下驾驶行为和心理特征的彩色路面优化:驾驶模拟器研究。
Traffic Inj Prev. 2024;25(3):518-526. doi: 10.1080/15389588.2024.2308523. Epub 2024 Feb 12.

引用本文的文献

1
Steering in the dark: The impact of environmental luminance on driver behavior through optical flow analysis.黑暗中的操控:通过光流分析探究环境亮度对驾驶员行为的影响。
Atten Percept Psychophys. 2025 Aug 26. doi: 10.3758/s13414-025-03146-y.
2
Beyond Basics: Can a Driving Simulator Reliably Reproduce Real Vehicle Dynamics?超越基础:驾驶模拟器能否可靠地再现真实车辆动力学?
Sensors (Basel). 2023 Nov 5;23(21):8980. doi: 10.3390/s23218980.
3
Examining the Effects of Visibility and Time Headway on the Takeover Risk during Conditionally Automated Driving.
考察可及性和时间间隔对条件自动化驾驶中接管风险的影响。
Int J Environ Res Public Health. 2022 Oct 26;19(21):13904. doi: 10.3390/ijerph192113904.
4
Safe Driving Distance and Speed for Collision Avoidance in Connected Vehicles.车对车通信环境下的安全跟车距离与速度模型
Sensors (Basel). 2022 Sep 17;22(18):7051. doi: 10.3390/s22187051.
5
Analysis of the Effect of Human-Machine Co-Driving Vehicle on Pedestrian Crossing Speed at Uncontrolled Mid-Block Road Sections: A VR-Based Case Study.基于 VR 的无信号控制路段人机共驾汽车对行人过街速度影响分析:案例研究
Int J Environ Res Public Health. 2022 Jun 12;19(12):7208. doi: 10.3390/ijerph19127208.