城市水下特长隧道弯道驾驶人扫视行为研究

doi:10.16265/j.cnki.issn1003-3033.2019.07.017

中国安全科学学报 ›› 2019, Vol. 29 ›› Issue (7): 104-109.doi: 10.16265/j.cnki.issn1003-3033.2019.07.017

城市水下特长隧道弯道驾驶人扫视行为研究

焦方通¹, 杜志刚^**1 教授, 王首硕¹, 陈云¹, 马兆有² 副研究员

1 武汉理工大学交通学院,湖北武汉 430063;
2 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:2019-03-16 修回日期:2019-05-25 出版日期:2019-07-28 发布日期:2020-10-21
通讯作者: ** 杜志刚(1977—),男,湖北武汉人,博士,教授,博士生导师,主要从事道路交通安全和交通规划方面的研究。E-mail: zhig_du7@163.com。
作者简介:焦方通 (1992—),男,山东淄博人,博士研究生,研究方向为交通安全与交通规划等。E-mail:jiaofangtong@126.com。
基金资助:
国家自然科学基金资助(51578433)。

Research on saccade behavior of drivers in extra-long urban underwater tunnel curves

JIAO Fangtong¹, DU Zhigang¹, WANG Shoushuo¹, CHEN Yun¹, MA Zhaoyou²

1 School of Transportation,Wuhan University of Technology,Wuhan Hubei 430063,China;
2 Key Laboratory of Road Traffic Safety of the Ministry of Public Security, Traffic Management Research Institute of the Ministry of Public Security, Wuxi Jiangsu 214151, China

Received:2019-03-16 Revised:2019-05-25 Online:2019-07-28 Published:2020-10-21

摘要/Abstract

摘要： 为探求在城市水下特长隧道弯道路段行驶过程中驾驶人扫视行为的变化特点,以扫视角为主要参数,在武汉东湖隧道内不同弯道和直线段开展实车试验,通过注视点分布范围、水平视角、通视距离的变化分析扫视行为;在特性分析中,以离均系数为指标研究不同弯道内扫视角的变化特征。结果表明:驾驶人在水下特长隧道不同线形路段行车过程中以小角度扫视为主,半径400、680、1 000 m 的弯道及直线段的离均系数分别为2.876、4.545、5.010、6.324,即随着弯道曲率的减小,驾驶人扫视角的中值、均值、变化范围逐渐变大,驾驶人的扫视范围更大、心理压力更小、行车安全性更佳。

关键词: 城市水下特长隧道, 弯道路段, 视觉特性, 扫视角, 驾驶人

Abstract: In order to explore the changing characteristics of driver's saccade behavior when driving in the extra-longurban underwater tunnel curves, the saccade angle was taken as the main research object and the actual vehicle test was carried out in different curves and straight sections of East Lake tunnel in Wuhan. Saccade behavior was analyzed by considering the variation of the fixation distribution, horizontal viewing angle and visual distance. In the characteristic analysis, the variation characteristics of saccade angle in different curves were studied with the mean absolute deviation as the evaluation index. The results show that the main saccade angle of drivers is small when driving in different alignments of extra-long underwater tunnel, that the mean absolute deviations of radius 400, 680, 1 000 m and straight section are 2.876, 4.545, 5.010 and 6.324 respectively, and that with the decrease of the curvature of the curve, the median, mean, and range of change of the driver's saccade angle become larger, the driver's saccade range is wider, the psychological pressure is smaller, and driving becomes safer.

Key words: extra-long urban under water tunnel, curved road, visual characteristic, saccade angle, driver

中图分类号:

X913.4

焦方通, 杜志刚, 王首硕, 陈云, 马兆有. 城市水下特长隧道弯道驾驶人扫视行为研究[J]. 中国安全科学学报, 2019, 29(7): 104-109.

JIAO Fangtong, DU Zhigang, WANG Shoushuo, CHEN Yun, MA Zhaoyou. Research on saccade behavior of drivers in extra-long urban underwater tunnel curves[J]. China Safety Science Journal, 2019, 29(7): 104-109.

参考文献

[1] 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.
[2] CALVI A, BLASIIS M R D, GUATTARI C. An empirical study of the effects of road tunnel on driving performance[J]. Procedia-Social and Behavioral Sciences, 2012, 53: 1 098-1 108.
[3] HE Shiyong, LIANG Bo, PAN Guobing, et al. Influence of dynamic highway tunnel lighting environment on driving safety based on eye movement parameters of the driver[J]. Tunnelling and Underground Space Technology, 2017, 67: 52-60.
[4] 胡月琦, 刘浩学, 朱彤, 等. 高速公路特长隧道环境中驾驶员视觉特性研究[J]. 中国安全科学学报, 2017, 27(6): 31-36.
HU Yueqi, LIU Haoxue, ZHU Tong, et al.Research on visual characteristics of drivers driving through extremely long expressway tunnel[J]. China Safety Science Journal, 2017, 27(6): 31-36.
[5] 潘姝, 郭唐仪, 邵飞, 等. 城市隧道环境中驾驶人注视转移特性研究[J]. 中国安全科学学报, 2018, 28(8): 19-24.
PAN Shu, GUO Tangyi, SHAO Fei, et al.Research on fixation transfer characteristics of drivers driving through urban tunnel[J]. China Safety Science Journal, 2018, 28(8): 19-24.
[6] PENG Jinshuan, WANG Chenwei, SHAO Yiming, et al. Visual search efficiency evaluation method for potential connected vehicles on sharp curves[J]. IEEE Access, 2018, 6: 41 827-41 838.
[7] OKA N, YOSHINO K, YAMAMOTO K, et al. Greater activity in the frontal cortex on left curves: a vector-based fNIRS study of left and right curve driving[J]. PloS One, 2015, 10(5): e0127594.
[8] 彭金栓, 张磊, 邵毅明,等. 山区公路驾驶人动态视觉试验研究[J]. 中国科技论文, 2018, 13(7): 741-746.
PENG Jinshuan, ZHANG Lei, SHAO Yiming, et al. Experimental study of drivers' dynamic visual search behavior on mountain roads[J].China Science Paper, 2018, 13(7): 741-746.
[9] 郑雪莲, 李显生, 任园园, 等. 基于视觉特性的驾驶人预瞄时间建模[J]. 中国公路学报, 2018, 31(5): 160-166.
ZHENG Xuelian, LI Xiansheng, REN Yuanyuan, et al. Modelling of driver's preview time based on visual characteristics [J]. China Journal of Highway and Transport, 2018, 31(5): 160-166.
[10] 杜志刚, 徐弯弯, 孟爽, 等. 基于视错觉的公路隧道环境改善研究新进展[J]. 武汉理工大学学报:交通科学与工程版, 2017, 41(2): 185-190.
DU Zhigang, XU Wanwan, MENG Shuang, et al. New research on improvement research of highway tunnel based on visual illusion[J]. Journal of Wuhan University of Technology:Transportation Science & Engineering, 2017, 41(2): 185-190.
[11] ZHENG Zhanji, DU Zhigang, YAN Qixiang, et al. The impact of rhythm-based visual reference system in long highway tunnels[J]. Safety Science, 2017, 95: 75-82.
[12] 童孟胜, 张驰, 张天航, 等.隧道环境下中间视觉模型的对比及应用[J]. 照明工程学报, 2017, 28(6): 119- 122,131.
TONG Mengsheng, ZHANG Chi, ZHANG Tianhang, et al.Comparison and application of mesopic models under the tunnel environment[J]. China Illuminating Engineering Journal, 2017, 28(6): 119- 122,131.
[13] CHANA H, TANGN Y. Visual lobe shape and search performance for targets of different difficulty[J]. Ergonomics, 2007, 50(2): 289-318.
[14] American Association of State Highway and Transportation Officials. Joint task force on the highway safety manual[R], 2010.
[15] 潘晓东, 殷艳红. 基于人机工程学山区公路平曲线安全视距研究[J]. 华东交通大学学报, 2007, 24(2): 55-57.
PAN Xiaodong, YIN Yanhong. Research on the safety running sight distance at the small radius curve part of mountainous highways based on ergonomics[J].Journal of East China Jiaotong University, 2007, 24(2): 55-57.
[16] 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, 2007, 24(2): 55-57.

城市水下特长隧道弯道驾驶人扫视行为研究

Research on saccade behavior of drivers in extra-long urban underwater tunnel curves

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