长隧道路段边缘率车速动态控制模型

doi:10.16265/j.cnki.issn1003-3033.2020.03.019

中国安全科学学报 ›› 2020, Vol. 30 ›› Issue (3): 122-128.doi: 10.16265/j.cnki.issn1003-3033.2020.03.019

长隧道路段边缘率车速动态控制模型

周灿¹, 王红^**1 副教授, 卢华², 朱顺应¹ 教授, 肖文彬¹

1.武汉理工大学交通学院,湖北武汉 430063;
2.深圳市城市交通规划设计研究中心有限公司,广东深圳 518052

收稿日期:2019-12-25 修回日期:2020-02-11 出版日期:2020-03-28 发布日期:2021-01-26
通讯作者: **王红(1967—),女,重庆人,硕士,副教授,主要从事道路设计、安全工程、建设管理等方面的研究。E-mail:1162915694@qq.com。
作者简介:周灿(1996—),男,湖北武汉人,硕士研究生,研究方向为道路线形安全。E-mail:zcan1996@163.com。
基金资助:
国家自然科学基金资助(71771183)。

Dynamic vehicle speed control model of edge rate in long tunnel sections

ZHOU Can¹, WANG Hong¹, LU Hua², ZHU Shunying¹, XIAO Wenbin¹

1. School of Transportation, Wuhan University of Technology, Wuhan Hubei 430063, China;
2. Shenzhen Urban Transportation Planning Center, Shenzhen Guangdong 518052, China

Received:2019-12-25 Revised:2020-02-11 Online:2020-03-28 Published:2021-01-26

摘要/Abstract

摘要： 现阶段,静态边缘率用于车辆控速时,所有车速对应的边缘率周期长度和铺设总长度固定不变,其针对性弱,整体降速效果不强,为克服此缺陷,基于事故率与车速离散度呈正相关,构建车速离散度最小为目标函数的隧道路段动态控速边缘率模型;在高速公路长隧道中部路段安装边缘率动态控速系统,开展动态边缘率与交通流的智能联动实证研究;对比分析试验路段边缘率动态控速系统安装前后的断面车速差异。结果表明:基于动态边缘率控速模型所构建的隧道路段动态控速系统能够有效控速,其中超速比例下降16.69%, 85%位车速、平均车速、车速标准差分别下降6.67%、7.96%、13.45%,且动态边缘率控速效果高于静态边缘率控速效果。

关键词: 长隧道, 动态边缘率, 动态控速, 车速离散度, 边缘率优化模型

Abstract: Currently, when static edge rate is used for vehicle speed control, cycle length of edge rate period and total length of pavement corresponding to all vehicle speeds are fixed, so it is not well-targeted and achieves no obvious effects in speed reduction. In order to make up for this defect, a dynamic speed control edge rate model for tunnel segment was established with minimum vehicle speed dispersion as objective function based on the positive correlation between accident rate and vehicle speed dispersion. Then, speed control system of dynamic edge rate was installed in central section of long tunnel on expressways for intelligent linkage studies between dynamic edge rate and traffic flow. Finally, vehicle speeds with or without control system of dynamic edge rate were compared and analyzed. The results show that speed control system based on dynamic edge rate model for tunnel sections can effectively control it with overspeed ratio decreasing by 16.69%, 85^th percentile speed, average speed and speed standard deviation decrease by 6.67%, 7.96% and 13.45% respectively, and its control effect is more remarkable than that of static edge rate.

Key words: long tunnel, dynamic edge rate, dynamic speed control, vehicle speed dispersion, edge rate optimization model

中图分类号:

X913.3

周灿, 王红, 卢华, 朱顺应, 肖文彬. 长隧道路段边缘率车速动态控制模型[J]. 中国安全科学学报, 2020, 30(3): 122-128.

ZHOU Can, WANG Hong, LU Hua, ZHU Shunying, XIAO Wenbin. Dynamic vehicle speed control model of edge rate in long tunnel sections[J]. China Safety Science Journal, 2020, 30(3): 122-128.

参考文献

[1] BASSAN S. Overview of traffic safety aspects and design in road tunnels [J]. Iatss Research, 2016, 40(1): 35-46.
[2] 韩飒. 山区高速公路隧道路段驾驶员眼动特性研究[D]. 西安:长安大学,2008.
HAN Sa. Research on eye movement characteristics of drivers in mountain highway tunnel sections [D]. Xi'an: Chang'an University, 2008.
[3] 史晓花, 杜志刚, 郑展骥,等. 公路隧道中部视错觉减速标线的优化[J]. 公路交通科技, 2016, 33(3): 89-96.
SHI Xiaohua, DU Zhigang, ZHENG Zhanji, et al. Optimization of optical illusion deceleration marking in the middle of highway tunnel[J]. Journal of Highway and Transportation Research and Development, 2016, 33(3): 89-96.
[4] RICHARD A R, HUGH W M, CHARLES M F. Influence of experimental pavement markings on urban freeway exit-Ramp traffic speeds [J]. Transportation Research Record: Journal of the Transportation Research Board, 2007,1705(2000): 116-121.
[5] 王婷, 杜志刚, 郑展骥,等. 高速公路隧道出口视觉环境改善方法研究[J]. 公路, 2016(8): 145-150.
WANG Ting, DU Zhigang, ZHENG Zhanji, et al. Research on improvement method of visual environment of expressway tunnel exit[J]. Highway, 2016(8): 145-150.
[6] WAN Hongliang, DU Zhigang, RAN Bin, et al. Speed control method for highway tunnel safety based on visual illusion[J]. Transportation Research Record Journal of the Transportation Research Board, 2015, 2485(1): 1-7.
[7] 丁乃侃, 朱顺应, 王红,等. 边缘标线影响跟车车距调节行为的结构方程模型[J]. 东南大学学报:自然科学版, 2016, 46(3): 635-640.
DING Naikan, ZHU Shunying, WANG Hong, et al. Structural equation model of edge marking line affecting the adjustment behavior of car distance[J]. Journal of Southeast University:Natural Science, 2016, 46(3): 635-640.
[8] 丁乃侃, 朱顺应, 王红,等. 不连续边缘标线影响追尾风险的结构方程模型[J]. 中国安全科学学报, 2017, 27(3): 106-110.
DING Naikan, ZHU Shunying, WANG Hong, et al. Structural equation model for discontinuous edge marking affecting rear-end risk[J]. China Safety Science Journal, 2017, 27(3): 106-110.
[9] 刘兵, 吴东平, 朱顺应, 等. 高速公路直线段边缘率控速标线周期长度设计模型[J]. 中国公路学报, 2018, 31(4):114-121,138.
LIU Bing, WU Dongping, ZHU Shunying, et al. Design model of cycle length of edge rate control speed line in expressway[J]. China Journal of Highway and Transport, 2018, 31(4):114-121,138.
[10] SHEN Haoming, YOSHIFUMI S, GOSUKE O. Speed-tuned mechanism and speed perception in human vision[J]. Systems and Computers in Japan,2005,36 (13): 1 718-1 727.
[11] 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 Panpan Research on tunnel reflection ring setting based on driver's visual characteristics [D]. Chongqing: Chongqing Jiaotong University, 2016.
[12] 孙文圃, 许金良, 刘文君. 交通环境对高速公路运营安全性影响综合评价[J]. 公路交通科技, 2014, 31(12): 124-131.
SUN Wenpu, XU Jinliang, LIU Wenjun. Comprehensive evaluation of traffic environment impact on highway operation safety[J]. Journal of Highway and Transportation Research and Development, 2014, 31(12): 124-131.
[13] DAVID C,PASCAL S,GERAINT R,et al. Perceptual load modulates conscious flicker perception[J].Journal of Vision, 2007, 7(14): 1-13
[14] HAMMETT S T, CHAMPION R A, MORLAND A B, et al. A ratio model of perceived speed in the human visual system[C]. Proceedings:Biological Sciences, 2005, 272: 2 351-2 356.
[15] 王畅, 付锐, 于鹏程. 城市道路环境中驾驶人应激响应感知-制动反应时间分析[J]. 科学技术与工程, 2013, 13(13): 3 802-3 807.
WANG Chang, FU Rui, YU Pengcheng. Analysis of driver's stress response perception-brake reaction time in urban road environment[J]. Science Technology and Engineering, 2013, 13(13): 3 802-3 807.
[16] 阎莹,王晓飞,张宇辉,等.高速公路断面运行车速分布特征研究[J].中国安全科学学报,2008,18(7): 171-176.
YAN Ying, WANG Xiaofei, ZHANG Yuhui, et al. Study on the distribution characteristics of vehicle speed in expressway section[J].China Safety Science Journal,2008,18(7): 171-176.
[17] 全国人民代表大会常务委员会.《关于修改〈中华人民共和国道路交通安全法〉的决定》[Z].2011.
[18] 裴玉龙, 程国柱. 高速公路车速离散性与交通事故的关系及车速管理研究[J]. 中国公路学报, 2004, 17(1): 74-78.
PEI Yulong, CHENG Guozhu. Research on the relationship between discrete speed of expressway and traffic accident and vehicle speed management[J]. China Journal of Highway and Transport, 2004, 17(1): 74-78.
[19] 方靖, 荣建, 祝站东. 自由流状态的判别标准研究[J]. 中国公路学报, 2010, 23(增1): 65-68.
FANG Jing, RONG Jian, ZHU Zhandong. Research on discrimination criterion of free flow state[J]. China Journal of Highway and Transport, 2010, 23(S1): 65-68.

长隧道路段边缘率车速动态控制模型

Dynamic vehicle speed control model of edge rate in long tunnel sections

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