高速公路隧道小半径圆曲线路段反光环有效性研究

doi:10.16265/j.cnki.issn1003-3033.2018.08.025

中国安全科学学报 ›› 2018, Vol. 28 ›› Issue (8): 149-154.doi: 10.16265/j.cnki.issn1003-3033.2018.08.025

高速公路隧道小半径圆曲线路段反光环有效性研究

杨理波¹, 杜志刚¹ 教授, 马兆有^**2,3 副研究员, 谢俊¹, 徐弯弯¹

1 武汉理工大学交通学院,湖北武汉 430063;
2 同济大学道路与交通工程教育部重点实验室,上海 201804;
3 公安部交通管理科学研究所道路交通安全公安部重点实验室,江苏无锡 214151

收稿日期:2018-05-08 修回日期:2018-07-02 出版日期:2018-08-28 发布日期:2020-11-25
通讯作者: **马兆有(1978—),男,吉林榆树人,博士研究生,副研究员,主要研究方向道路交通安全、交通组织。E-mail:uarain@126.com。
作者简介:杨理波(1993—),男,湖南隆回人,硕士研究生,主要研究方向为道路交通安全和交通规划。E-mail:Leeberyang@163.com。
基金资助:
国家自然科学基金资助(51578433);道路交通安全公安部重点实验室开发课题(2018ZDSYSKFKT08);武汉理工大学研究生优秀学位论文培育项目(2017-YS-015)。

Research on effectiveness of reflective rings forsmall radius circle curve road section of expressway tunnels

YANG Libo¹, DU Zhigang¹, MA Zhaoyou^2,3, XIE Jun¹, XU Wanwan¹

1 School of Transportation,Wuhan University of Technology,Wuhan Hubei 430063,China;
2 Key Laboratory of Road and Traffic Engineering of the Ministry of Education,Tongji University,Shanghai 201804,China;
3 Key Laboratory of Road Traffic Safety of the Ministry of Public Security,Traffic Management Research Institute of the Ministry of Public Security,Wuxi Jiangshu 214151,China

Received:2018-05-08 Revised:2018-07-02 Online:2018-08-28 Published:2020-11-25

摘要/Abstract

摘要： 为定量分析高速公路隧道小半径圆曲线路段反光环线形诱导的有效性,首先,基于 E-prime平台开展室内仿真模拟试验,并以弯道判断准确率和判断时间作为衡量驾驶员曲率感知能力的评价指标;然后,选择20名驾驶员作为被试,分别测量被试在不同行车场景条件下的数据;最后,统计分析试验数据。结果表明:当反光环的数目少于3个时,被试的弯道判断准确率与反光环数目显著正相关,判断时间与反光环数目显著负相关;当反光环数目多于3个时,被试的弯道判断准确率与反光环数目不再有显著的正相关性;且判断时间减少幅度不大。相比于布设4个线形诱导标志的方案,采用3个反光环的方案能够使驾驶员在更短的时间内对隧道小半径圆曲线路段的线形作出更为准确的判断。

关键词: 高速公路隧道, 小半径圆曲线路段, 反光环, 弯道判断准确率, 判断时间

Abstract: In order to quantitatively analyze the effectiveness of the linear guidance of the reflective rings for the small radius circular curve section of expressway tunnels,firstly,indoor simulation tests were realized on the psychological software platform of E-prime,and the accuracy rate of curve judgment and judgment time were selected as the evaluation indexes of the driver's curvature perception ability.Twenty testees were put through the experiment to obtain test data.Finally,test data on the testees under different scene conditions were statistically analyzed.The results show that when the number of reflective rings is less than three,the accuracy rate of curve judgment is significantly positively correlated with the number of reflective rings,and there is a significant negative correlation between judgment time and the number of reflective rings,that when the number of reflective rings is more than three,accuracy rate of curve judgment is no longer significantly positively correlated with the number of reflective rings,and the judgment time is not greatly reduced,and that compared with the tunnel driver's field of vision in the program with four chevron alignment sign,the use of three reflective rings in tunnels allows the driver to be capable of making a more accurate judgment of expressway tunnel's line in the small radius circular curve section more quickly.

Key words: expressway tunnel, small radius circular curve section, reflective ring, accuracy rate of curve judgment, judgment time

中图分类号:

X913.4

杨理波, 杜志刚, 马兆有, 谢俊, 徐弯弯. 高速公路隧道小半径圆曲线路段反光环有效性研究[J]. 中国安全科学学报, 2018, 28(8): 149-154.

YANG Libo, DU Zhigang, MA Zhaoyou, XIE Jun, XU Wanwan. Research on effectiveness of reflective rings forsmall radius circle curve road section of expressway tunnels[J]. China Safety Science Journal, 2018, 28(8): 149-154.

参考文献

[1] 万红亮,杜志刚,冯超,等.基于视错觉的公路隧道中部安全控速方法[J].交通信息与安全,2014,32(5):146-153.
WAN Hongliang,DU Zhigang,FENG Chao,et al.Approaches for vehicle speed control based on visual illusion in highway tunnel[J].Journal of Transport Information and Safety,2014,32(5):146-153.
[2] 杨理波,杜志刚,徐弯弯,等.隧道内不同组合信息条件下驾驶员视错觉研究[J].中国安全科学学报,2018,28(1):32-37.
YANG Libo,DU Zhigang,XU Wanwan,et al.Research on drivers' visual illusion in tunnels under different combined visual information conditions[J].China Safety Science Journal,2018,28(1):32-37.
[3] MANSER M P,HANCOCK P A.The influence of perceptual speed regulation on speed perception,choice,and control:tunnel wall characteristics and influences[J].Accident Analysis and Prevention,2007,39(1):69-78.
[4] 卢莹.基于驾驶员视觉特性的公路平纵面设计[D].西安:长安大学,2013.
LU Ying.Research on highway plane and vertical alignment based on driver's visual characteristics[D].Xi'an:Chang' an University,2013.
[5] 徐良杰,陈东,奚少新,等.冰雪环境公路弯道线形诱导标志色彩视认特性研究[J].公路交通科技,2017,34(2):100-105.
XU Liangjie,CHEN Dong,XI Shaoxin,et al.Study on color visual recognition characteristics of chevron alignment sign on road curve in ice and snow environment[J].Journal of Highway and Transportation Research and Development,2017,34(2):100-105.
[6] 陈芳,周智海,杨运兴.山区高速公路弯道路段驾驶员视点分布特征研究[J].合肥工业大学学报:自然科学版,2015,38(5):594-599.
CHEN Fang,ZHOU Zhihai,YANG Yunxing.On driver's viewpoint distribution characteristics on curved section of the highway in mountainous area[J].Journal of Hefei University of Technology:Natural Science,2015,38(5):594-599.
[7] ROSE E,CARLSON P.Spacing chevrons on horizontal curves[J].Transportation Research Record Journal of the Transportation Research Board,2005,1918(1):84-91.
[8] WU Yiping,ZHAO Xiaohua,RONG Jian,et al.Effects of chevron alignment signs on driver eye movements,driving performance,and stress[J].Transportation Research Record Journal of the Transportation Research Board,2013,2365(1):10-16.
[9] 叶伟.平曲线路段突起路标线形诱导有效性研究[D].西安:长安大学,2015.
YE Wei.Research on the effective of road alignment induction of raised pavement markers on horizontal curves[D].Xi'an:Chang' an University,2015.
[10] 陶盼盼.基于驾驶员视觉特性的隧道反光环设置研究[D].重庆:重庆交通大学,2016.
TAO Panan.Research on tunnel's aura setting based on the driver's visual characteristics[D].Chongqing:Chongqing Jiaotong University,2016.
[11] 杜志刚,徐弯弯,向一鸣.基于视线诱导的公路隧道光环境优化研究框架[J].中国公路学报,2018,31(4):122-129.
DU Zhigang,XU Wanwan,XIANG Yiming.Research on light environment improvement framework of highway tunnel based on visual guidance[J].China Journal of Highway and Transport,2018,31(4):122-129.
[12] JTG D20—2006,公路路线设计规范[S].
JTG D20-2006,Design specification for highway alignment[S].
[13] ZWAHLEN H T,JIN Y P.Curve radius perception accuracy as function of number of delineation devices (chevrons)[J].Thin Solid Films,1995,518(2):518-521.
[14] JTG D70/2—2014,公路隧道照明设计细则[S].
JTG D70/2-2014,Guidelines for design of lighting of highway tunnels[S].

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高速公路隧道小半径圆曲线路段反光环有效性研究

Research on effectiveness of reflective rings forsmall radius circle curve road section of expressway tunnels

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