1. Wuxi Mingda Traffic & Technology Consulted CO., Ltd., Wuxi Jiangsu 214023, China;
2. School of Transportation, Wuhan University of Technology, Wuhan Hubei 430063, China;
3. Traffic Management Research Institute of Ministry of Public Security, Wuxi Jiangsu 214151, China
Optimization of Deceleration Markings of Visual Illusion in a Highway Tunnel
SHI Xiao-hua1, DU Zhi-gang2, ZHOU Li-ping1, LI Ping-fan3
1. Wuxi Mingda Traffic & Technology Consulted CO., Ltd., Wuxi Jiangsu 214023, China;
2. School of Transportation, Wuhan University of Technology, Wuhan Hubei 430063, China;
3. Traffic Management Research Institute of Ministry of Public Security, Wuxi Jiangsu 214151, China
摘要In order to improve the deceleration effect in the highway tunnel, the design method of visual information with high and low frequency combined is proposed. Through using 3ds Max software design driving video, and set up illusion combination marking in high frequency (8-16 Hz) and low frequency (0.2-4 Hz) in the tunnel side wall, this paper completed the psychophysical experiments of speed perception about a single frequency and a series of combination of high and low frequency of visual information by E-prime2.0 software, the degree of speed illusion is different under different information, so visual illusion is analyzed on the lines of deceleration effect. Conclusion:Multi frequency combined information makes speed perception overestimate of drivers, and the driver's speed overestimation degree is 8.21% when High frequency and low frequency information are 12 Hz and 0.2 Hz respectively, which is in the reasonable scope, at the same time the driver's shortest reaction time is 2.08 s. On this basis, by the safety distance model, in the highway tunnel the speed calculated is at least 67 m so that it can keep a safe distance, it decreases 25.6% compared with the traditional safety distance 90 m, it conforms to the actual driving conditions and provide the certain reference of the safety specification for driving inside the tunnel.
Abstract:In order to improve the deceleration effect in the highway tunnel, the design method of visual information with high and low frequency combined is proposed. Through using 3ds Max software design driving video, and set up illusion combination marking in high frequency (8-16 Hz) and low frequency (0.2-4 Hz) in the tunnel side wall, this paper completed the psychophysical experiments of speed perception about a single frequency and a series of combination of high and low frequency of visual information by E-prime2.0 software, the degree of speed illusion is different under different information, so visual illusion is analyzed on the lines of deceleration effect. Conclusion:Multi frequency combined information makes speed perception overestimate of drivers, and the driver's speed overestimation degree is 8.21% when High frequency and low frequency information are 12 Hz and 0.2 Hz respectively, which is in the reasonable scope, at the same time the driver's shortest reaction time is 2.08 s. On this basis, by the safety distance model, in the highway tunnel the speed calculated is at least 67 m so that it can keep a safe distance, it decreases 25.6% compared with the traditional safety distance 90 m, it conforms to the actual driving conditions and provide the certain reference of the safety specification for driving inside the tunnel.
基金资助:Supported by the National Natural Science Foundation of China (No.51578433)
通讯作者:
SHI Xiao-hua,E-mail:1023961874@qq.com
E-mail: 1023961874@qq.com
引用本文:
史晓花, 杜志刚, 周立平, 李平凡. 公路隧道中部视错觉减速标线优化研究[J]. Journal of Highway and Transportation Research and Development, 2016, 10(4): 63-70.
SHI Xiao-hua, DU Zhi-gang, ZHOU Li-ping, LI Ping-fan. Optimization of Deceleration Markings of Visual Illusion in a Highway Tunnel. Journal of Highway and Transportation Research and Development, 2016, 10(4): 63-70.
[1] DENTON G G. The Influence of Visual Pattern on Perceived Speed[J].Perception, 1980,9(4):393-402.
[2] CHEN Chang-wu, ZHANG Wan-tao, LIU Chao-zhi. The Causation Analysis of Over Speed in Tunnel Based on the Visual Perception[J]. Highways & Automotive Applications, 2011(4):76-79.(in Chinese)
[3] ZHU Shun-ying, ZHANG Zi-pei, WANG Hong, et al. Mechanism Responsible for Velocity Reduction by Edge Rate Bars[J]. China Safety Science Journal,2013, 23(6):110-115. (in Chinese)
[4] SONG Zi-xuan, PAN Xiao-dong, LI Shao-shuai, et al. Study on Driving Safety Evaluation Based on Tunnel Sidewall Effect[J]. Highway Engineering, 2010, 35(3):10-13. (in Chinese)
[5] LIU Bing. Research of Mechanism Speed Controlling and Lane Keeping Based on Orieris Visual Perception[D]. Wuhan:Wuhan University of Technology, 2008. (in Chinese)
[6] WICKENS C D, HOLLANDS J G. Engineering Psychology & Human Pergormance[M]. ZHU Zu-xiang,translated. Shanghai:East China Noral University Press,2003:193-196.
[7] LIU Bing, ZHU Shun-ying, WANG Hong, et al. Research on Speed Reduction Phenomenon and Mechanism Influenced by Length of Edge Rate Bars[J]. China Safety Science Journal, 2013, 23(10):114-120. (in Chinese)
[8] JTJ 026.1-1999. Specifications for Design of Ventilation and Lighting of Highway Tunnel[S]. (in Chinese)
[9] JTG/T D71-2004. Design Specifications for Traffic Engineering of Highway Tunnel[S]. (in Chinese)
[10] JTG D70-2004. Code for Design of Road Tunnel[S].
[11] SHEN H, SHIMODAIRA Y, OHASHI G. Speed-Tuned Mechanism and Speed Perception in Human Vision[J]. Systems and Computers in Japan,2005, 36(13):1-2.(in Chinese)
[1]
谭仪忠, 刘元雪, 蔡守军, 王培勇, 陈愈龙. 浅埋隧道单侧扩建优化施工方案探讨[J]. Journal of Highway and Transportation Research and Development, 2019, 13(2): 45-55.
[2]
姜明, 陈艳艳, 冯移冬, 周瑞. 路侧示警桩设置关键指标研究[J]. Journal of Highway and Transportation Research and Development, 2019, 13(1): 79-87.
[3]
杨相如. 海底隧道衬砌混凝土高温后性能试验研究[J]. Journal of Highway and Transportation Research and Development, 2018, 12(3): 53-59.
[4]
肖大海, 谢全敏, 杨文东. 基于多变量的集成预测模型在隧道拱顶沉降变形预测中的应用[J]. Journal of Highway and Transportation Research and Development, 2018, 12(3): 46-52.
[5]
罗福君, 周晓军, 王媛, 张福麟. 框架型棚洞承受落石冲击力的模型试验研究[J]. Journal of Highway and Transportation Research and Development, 2018, 12(2): 59-66.
[6]
唐自强, 龚贤武, 潘勇, 唐超, 王玮琳. 基于行驶状态估计的车车协同纵向安全距离模型[J]. Journal of Highway and Transportation Research and Development, 2017, 11(2): 103-110.
[7]
肖旺, 郭全元, 苏永华. 考虑峰后特性的隧道围岩锚固力学效应[J]. Journal of Highway and Transportation Research and Development, 2017, 11(1): 49-58.
[8]
杨春风, 高恒楠, 孙吉书, 苗大萍. 基于改进的灰关联度组合赋权法的公路交通安全评价研究[J]. Journal of Highway and Transportation Research and Development, 2016, 10(4): 71-77.
[9]
石钰锋, 罗青, 赵秀绍, 皮圣. 浅覆大跨度小净距隧道中岩墙及初支力学特性研究[J]. Journal of Highway and Transportation Research and Development, 2016, 10(3): 51-59.
[10]
胡俊, 王平. 含EPS颗粒夹层的隧道结构抗爆性能有限元分析[J]. Journal of Highway and Transportation Research and Development, 2016, 10(2): 53-58.
[11]
邵良杉, 徐波. 基于因子分析与Fisher判别分析法的隧洞围岩分类研究[J]. Journal of Highway and Transportation Research and Development, 2015, 9(4): 50-57.
[12]
王如意, 闫倩倩, 田波, 谢晋德. 含湿量和纤维对隧道二衬混凝土高温性能的影响[J]. Journal of Highway and Transportation Research and Development, 2015, 9(3): 63-68.
[13]
汪波, 王杰, 吴德兴, 徐建强, 赵玉东. 让压支护技术在软岩大变形隧道中的应用探讨[J]. Journal of Highway and Transportation Research and Development, 2015, 9(3): 69-77.
[14]
宋克志, 李福献, 朱雷敏, 王梦恕. 隧道二衬结构受力影响因素的敏感性分析[J]. Journal of Highway and Transportation Research and Development, 2014, 8(4): 69-75.
[15]
石钰锋, 林辉, 阳军生, 徐长节. 软弱地层浅埋隧道加固范围及强度参数的研究[J]. Journal of Highway and Transportation Research and Development, 2014, 8(4): 76-81.