To improve traffic safety in highway tunnels, it is suggested to use line shaped visual guidance facilities to enhance local brightness and contrast of the tunnel, and form a linear guidance system that outlines the tunnel outline and road alignment. Firstly, set up a tunnel simulation scenario, conduct driving simulation experiments and questionnaire surveys, and analyze the impact of various linear induction facilities/systems on drivers' vision, psychology, and driving tasks; Then, explore the effects of the size, direction, continuity, and combination of various induction facilities on the optimization of visual reference frames and spatial rights-of-way perception. The results show that linear guiding system can effectively enhance the salience of the tunnel environment, reduce the difficulty of obtaining visual information, and ease the driver's nervousness. Longitudinal linear guiding facilities are conducive to clarifying the road boundary and the direction of travel, and enhancing the driver's perception of location. Vertical and horizontal linear guiding facilities help to clarify the outline of the tunnel and enhance driver's speed control. Through a reasonable combination of different linear guidance facilities, to complement the shortcomings, to achieve the overall improvement of driving safety indicators.
YangY, AlonsoF, DuZ, et al. How to resolve the contradiction between driving safety and lighting energy conservation in a highway tunnel?—An experiment on linear guiding system[J]. Transportation Research Part F: Praffic Psychology and Behaviour, 2024, 103: 319-339.
[2]
MaZ, FangS, LiuS. Analysis of the relationship between the number of traffic accidents and the traffic flow & section location in extra-long tunnel[J]. Engineering, 2020, 12(2), 71-81.
XuJin, PanCun-shu, FuJing-hou, et al. Speed behavior characteristic on typical driving scenarios and along switched scenarios[J]. Journal of Jilin University (Engineering and Technology Edition), 2021, 51(4): 1331-1341.
[5]
ZhengZ, DuZ, YanQ. The impact of rhythm-based visual reference system in long highway tunnels[J]. Safety Science, 2017, 95: 75-82.
WangShou-shuo, DuZhi-gang, FengShou-zhong, et al. Research on effectiveness of visual guiding system in entrance zone of freeway tunnel[J]. Journal of Traffic and Transportation Engineering, 2021, 21(2): 267-277.
[8]
YeungJ S, WongY D. Road traffic accidents in Singapore expressway tunnels[J]. Tunnelling and Underground Space Technology, 2013, 38: 534-541.
DuZhi-gang, NiYu-dan, YangLi-bo, et al. Effectiveness experiment of sight induction facilities of curve sections in highway tunnel[J]. Journal of Traffic and Transportation Engineering, 2020, 20(1): 215-225.
YeFei, SuEn-jie, LiangXiao-ming, et al. Review and thinking on landscape design of highway tunnel[J]. China Journal of Highway and Transport, 2022, 35(1): 23-37.
HeShi-yong, ZhouYuan-tao, LiangBo, et al. Research status and progress on driver information perception and representation methods in long tunnel light environment[J]. Tunnel Construction, 2022, 42(2): 176-187.
[15]
XuR, YeH, HuB, et al. Intelligent dimming control and energy consumption monitoring system of tunnel lighting[J]. Lighting Research & Technology, 2024, 56: 72-86.
ZhaoXiao-hua, JuYun-jie, LiJia, et al. Evaluation of the effect of RPMs in extra-long tunnels based on driving behavior and visual characteristics[J]. China Journal of Highway and Transport, 2020, 33(6): 29-41.
[18]
DuZ, WangS, YangL, et al. Experimental study on the efficacy of retroreflective rings in the curved freeways tunnels[J]. Tunnelling and Underground Space Technology, 2021, 110: No 103813.
[19]
JiaoF, DuZ, WongY, et al. Design and evaluation of visual guiding facilities along urban road tunnel horizontal curves based on vision and speed perception[J]. Tunnelling and Underground Space Technology, 2023, 133: No.104937.
ZhengHao-ran, DuZhi-gang, WangShou-shuo, et al. Optimal design of highway tunnel traffic safety based on linear induction[J]. China Safety Science Journal, 2023, 33(8):134-141.
ChenYing, DuZhi-gang, XuJin, et al. Optimization of traffic facilities on curves of low grade highway based on linear guidance[J]. Highway, 2022, 67(10):292-300.
DuZhi-gang, HanLei, MeiJia-lin, et al. Research framework for visual environment optimization of small radius highway long tunnels based on psychological rotation effect[J]. Journal of Tongji University (Natural Science), 2023, 51(9): 1372-1382.
XuJin, WangYan-peng, ChenHai-yuan, et al. Longitudinal driving characteristics and operating speed prediction model of cars on hairpin curves of mountainous roads[J]. Journal of Jilin University (Engineering and Technology Edition), 2023, 53(12):3432-3445.
ZhaoXiao-hua, LiuChang, QiHang, et al. Influencing factors and heterogeneity analysis of highway traffic accidents[J]. Journal of Jilin University (Engineering and Technology Edition), 2024, 54(4):987-995.
LiHong-tao, WangLin-hong, LiJun-da. 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.
WangHai-xiao, LiYong-xiang, DingXu, et al. Traffic safety prediction of urban underpass tunnel vehicles based on edge intelligence[J]. Journal of Jilin University (Engineering and Technology Edition), 2022, 52(6): 1337-1343.