Journal of Jilin University(Engineering and Technology Edition) ›› 2025, Vol. 55 ›› Issue (12): 3898-3906.doi: 10.13229/j.cnki.jdxbgxb.20240535

Previous Articles    

Collaborative control of tunnel speed and lighting based on driver’s visual characteristics

Guang-yong CHEN1(),Shi-rui ZHOU2,Chu-qing TAO1,Li WAN1,Wei WEI2()   

  1. 1.Tunnel and Underground Engineering Design Branch,Shandong Provincial Communications Planning and Design Institute Group Company Limited,Jinan 250101,China
    2.College of Transportation,Jilin University,Changchun 130022,China
  • Received:2023-09-19 Online:2025-12-01 Published:2026-02-03
  • Contact: Wei WEI E-mail:51338031@qq.com;weiwei@jlu.edu.cn

Abstract:

Aiming at the problem that drivers' depression and tension are easily induced by narrow space, insufficient lighting and limited sightline in tunnels, which further leads to the phenomenon of "slowing down whenever passing through a tunnel" and thus impairs traffic efficiency, a coordinated control method for tunnel vehicle speed and lighting is proposed.First, drivers' visual adaptation characteristics to light intensity in tunnel environments are analyzed, calculation models for the optimal lighting intensity and range under different driving speeds are established, and the control scheme of lighting variation in tunnels is optimized to reduce the interference of the black hole and white hole effects on drivers. Then, combined with indicators such as actual vehicle speed and traffic density in tunnels as well as the levels of emergencies, a method for determining the safe operation speed of tunnels is designed, and the tunnel lighting illuminance is adjusted to meet the requirements of drivers' safe driving. Finally, simulation verification is carried out by using the actual operation data of tunnels in Shandong Province. The results show that the average operation speed and safety efficiency of tunnels are improved by this method through the coordinated control of tunnel vehicle speed and lighting. At present, this method has been put into practical application in some tunnels of the Jiwei Expressway in Shandong Province.

Key words: engineering of communication and transportation system, driver characteristics, tunnel speed control, tunnel lighting regulation

CLC Number: 

  • U458

Fig.1

Schematic diagram of lighting range requirements"

Fig.2

Diagram of accident number and speed dispersion"

Fig.3

Traffic flow-density model"

Table 1

Tunnel emergency classification"

事件严重等级事件严重程度事件影响范围

危险

事件

发生火灾、爆炸、危险品泄漏、死伤事故等,需要紧急救援,造成经济损失和社会影响隧道交通阻断

一般

事件

发生受伤事故、车辆刮擦等,无人员伤亡或仅有轻微受伤隧道部分车道受阻

轻微

事件

车辆故障抛锚、车上物品掉落等,存在交通事故隐患影响隧道部分车流

Fig.4

Tunnel emergency bottleneck area"

Table 2

Hazard event level control strategy"

突发事件状态交通信号灯可变限速标志车道指示器
事故初始红灯关闭车道关闭
事故救援红灯关闭车道关闭
事故恢复黄闪动态值车道开启

Table 3

General event level control strategy"

突发事件状态交通信号灯可变限速标志车道指示器
事故初始黄闪关闭车道开启
事故救援红灯关闭车道关闭
事故恢复黄闪动态值车道开启

Table 4

Minor incident level control strategy"

突发事件

状态

交通信号灯

可变限速

标志

车道指示器
事故初始黄闪动态值车道开启
事故救援黄闪动态值

事故车道关闭,

非事故车道正常开启

事故恢复黄闪动态值车道开启

Fig.5

Tunnel lighting curve"

Fig.6

Current vehicle speed distribution"

Fig.7

Improved vehicle speed distribution"

Fig.8

Tunnel simulation"

Fig.9

No control strategy adopted"

Fig.10

Adopt control strategy"

Fig.11

Comparison of vehicle speed changes when emergencies occur in tunnel"

Fig.12

Comparison of average vehicle delay time when emergencies occur in tunnel"

[1] 唐正光, 付用国, 董文武, 等. 高速公路隧道路段车速特性分析[J] .重庆交通大学学报: 自然科学版,2020, 39(6): 25-32.
Tang Zheng-guang, Fu Yong-guo, Dong Wen-wu, et al. Analysis of speed characteristics in highway tunnel sections[J]. Journal of Chongqing Jiaotong University (Natural Science Edition), 2020, 39(6): 25-32.
[2] 田毕江, 胡澄宇, 杨文臣, 等. 基于驾驶模拟技术的山区高速公路桥隧群区限速值分析[J]. 公路, 2022,67(1): 240-247.
Tian Bi-jiang, Hu Cheng-yu, Yang Wen-chen, et al. Analysis of speed limit values for bridge and tunnel clusters on mountainous highways based on driving simulation technology[J]. Highway, 2022, 67(1): 240-247.
[3] 高欣. 基于运行速度的城市道路隧道行车安全分析及对策研究[D]. 重庆: 重庆交通大学交通运输学院, 2023.
Gao Xin. Research on driving safety analysis and countermeasures of urban road tunnels based on operating speed[D]. Chongqing: College of Traffic and Transportation, Chongqing Jiaotong University, 2023.
[4] 齐宏娇. 基于照明亮度和行车速度影响的隧道出入口视距研究[D]. 重庆: 重庆交通大学交通运输学院, 2023.
Qi Hong-jiao. Research on sight distance at tunnel entrances and exits based on the influence of illumination brightness and driving speed[D]. Chongqing: College of Traffic and Transportation, Chongqing Jiaotong University, 2023.
[5] Wang B T, Guang X P, Zhou Q H, et al. Control method of variable speed limits at the freeway tunnel entrance under rainy weather[C]∥19th COTA International Conference of Transportation Professionals, Restion, Virginia, USA, 2019: 3626-3635.
[6] Lu X Y, Varaiya P, Horowitz R, et al. A new approach for combined freeway variable speed limits and coordinated ramp metering[C]∥13th International IEEE Conference on Intelligent Transportation Systems (ITSC), Madeira Island, Portugal, 2010: 491-498.
[7] Omer V D B, Vrana S R. Repetition and boredom in a perceptual fluency/attributional model of affective judgements[J]. Cognition & Emotion, 1998, 12(4): 533-553.
[8] Zhen Y, Guo Z Y. Research on speed alteration at entrance and exit of tunnel[J]. Shanghai Highways, 2006, 1: 48-51.
[9] 于亚敏. 公路隧道入口“黑洞”效应的数值表征与遮阳棚光环境设计方法[D]. 西安: 长安大学运输工程学院, 2020.
Yu Ya-min. Numerical characterization of the "black hole" effect at highway tunnel entrances and design method of light environment for sunshades[D]. Xi'an: College of Transportation Engineering, Chang'an University, 2020.
[10] 冯锐. 高速公路隧道(群)出入口光伏遮阳棚设计关键技术研究[D]. 西安: 长安大学运输工程学院, 2023.
Feng Rui. Research on key technologies of photovoltaic sunshade design at entrances and exits of expressway tunnels (groups)[D]. Xi'an: College of Transportation Engineering, Chang'an University, 2023.
[11] 唐鹏飞. 基于驾驶人视点照度的公路隧道入口遮阳棚设计方法[D]. 西安: 长安大学运输工程学院, 2019.
Tang Peng-fei. Design method of sunshades at highway tunnel entrances based on drivers' viewpoint illuminance[D]. Xi'an: College of Transportation Engineering, Chang'an University, 2019.
[12] 万利, 张长安, 李璟, 等. 隧道彩色路面和侧墙设计对驾驶行为的影响分析[J]. 中国安全科学学报,2023, 33(): 25-34.
Wan Li, Zhang Chang-an, Li Jing, et al. Analysis of the impact of tunnel colored road surface and side wall design on driving behavior[J]. Chinese Journal of Safety Sciences, 2023, 33(Sup.1): 25-34.
[13] 林志, 李佳奇, 赵耀, 等. 隧道路面颜色对行车安全的影响研究[J]. 重庆交通大学学报: 自然科学版,2022, 41(7): 34-38.
Lin Zhi, Li Jia-qi, Zhao Yao, et al. Study on the influence of tunnel road surface color on driving safety[J]. Journal of Chongqing Jiaotong University (Natural Science Edition), 2022, 41(7): 34-38.
[14] . 公路隧道照明设计细则 [S].
[15] 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 Xue-lian, Li Xian-sheng, Ren Yuan-yuan, et al. Modelling of driver's preview time based on visual characteristics[J]. China Journal of Highway and Transport, 2018, 31(5): 160-166.
[16] Solomon D. Accidents on main rural highways related to speed, driver, and vehicle[C]∥Federal Highway Administration,Washington, DC,USA, 1964:76-82.
[17] Erwin W, Spaan Matthijs T J, Bram B.Traffic flow optimization: a reinforcement learning approach[J].Engineering Applications of Artificial Intelligence, 2016, 52: 203-212.
[18] Messner A, Papageorgiou M. METANET: a macroscopic simulation program for motorway networks[J]. Traffic Engineering & Control,1990,31(8/9):466-470.
[19] 吕月娟. 公路隧道突发事件的应急制度研究[D]. 西安: 长安大学人文学院, 2017.
Lv Yue-juan. Research on emergency systems for unexpected events in highway tunnels[D]. Xi'an: College of Humanities, Chang'an University, 2017.
[20] 崔瑾, 赵海涛, 张程玮. 高速公路隧道交通事件分类及响应措施[J]. 公路, 2022, 67(7): 321-325.
Cui Jin, Zhao Hai-tao, Zhang Cheng-wei. Traffic incident classification and response measures in expressway tunnel[J]. Highway, 2022, 67(7): 321-325.
[1] Zhao-wei QU,Ming-yang WANG,Zhe WANG,Xian-min SONG,Yun-xiang ZHANG,Jing-cheng HUANG. Adaptive scheduling method for bus based on autonomous modular vehicles main⁃auxiliary function allocation [J]. Journal of Jilin University(Engineering and Technology Edition), 2025, 55(9): 2946-2957.
[2] Chang-ru MU,Liang XU,Guo-zhu CHENG. Collision prevention performance of outsourced U-shaped steel concrete composite guardrail based on reasonable energy allocation [J]. Journal of Jilin University(Engineering and Technology Edition), 2025, 55(8): 2669-2680.
[3] Yan-bo LI,Jing-yuan WANG,Yuan-yuan Chen,Shao-feng CHENG,Hao-nan LYU,Jun-shuo CHEN. RAMS assessment approach of self-consistent energy system in highway service areas [J]. Journal of Jilin University(Engineering and Technology Edition), 2025, 55(7): 2243-2250.
[4] Xiao-feng JI,Ruo-fan DENG,Xin QIAO,Hao-tian GUAN. Nonlinear influence of built environment on temporal aggregation modes of shared bicycles [J]. Journal of Jilin University(Engineering and Technology Edition), 2025, 55(7): 2233-2242.
[5] Sheng-yu YAN,Ming-jie CHENG,Hong-ce TIAN,Hong-yu WANG,Yong-heng ZHOU,Bo-hao MA. Scheduling algorithm for battery electric vehicle in closed scenic area [J]. Journal of Jilin University(Engineering and Technology Edition), 2025, 55(6): 1984-1993.
[6] Yan-yan QIN,Teng-fei XIAO,Qin-zhong LUO,Bao-jie WANG. Car-following safety analysis and control strategy for foggy freeway [J]. Journal of Jilin University(Engineering and Technology Edition), 2025, 55(4): 1241-1249.
[7] Yi-yong PAN,Xiang-yu XU. Model for predicting severity of accidents based on MobileViT network considering imbalanced data [J]. Journal of Jilin University(Engineering and Technology Edition), 2025, 55(3): 947-953.
[8] Yong-zheng YANG,Zhi-gang DU,Jia-lin MEI. Setting method and effect evaluation of linear guiding system in highway tunnels [J]. Journal of Jilin University(Engineering and Technology Edition), 2025, 55(12): 3885-3897.
[9] Xi-zhen ZHOU,He GONG,Dun-dun LI,Yan-jie JI,Jie YAN. Nonlinear model for impact of built environment on curb parking spaces occupancy [J]. Journal of Jilin University(Engineering and Technology Edition), 2024, 54(9): 2520-2530.
[10] Ya-qin QIN,Zheng-fu QIAN,Ji-ming XIE. Vehicle cooperative obstacle avoidance strategy driven by CLAM model and trajectory data [J]. Journal of Jilin University(Engineering and Technology Edition), 2024, 54(5): 1311-1322.
[11] Hong-tao LI,Lin-hong WANG,Jun-da LI. Influence of lighting and speed limit on visual search ability at highway intersections [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(8): 2287-2297.
[12] Wei-tiao WU,Kun ZENG,Wei ZHOU,Peng LI,Wen-zhou JIN. Deep learning method for bus passenger flow prediction based on multi-source data and surrogate-based optimization [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(7): 2001-2015.
[13] Zhen-liang LIU,Cun-bao ZHAO,Yun-peng WU,Mi-na MA,Long-shuang MA. Life⁃cycle seismic resilience assessment of highway bridge networks using data⁃driven method [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(6): 1695-1701.
[14] Chao SUN,Hao-wei YIN,Wen-yun TANG,Zhao-ming CHU. Sensor deployment strategy and expansion inference of mobile phone data for traffic demand estimation [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(4): 1070-1077.
[15] Hong-fei JIA,Ying-jun XU,Li-li YANG,Nan WANG. League member selection and benefit distribution of commercial vehicles multi⁃modal transportation [J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(4): 1060-1069.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!