摘要
现有隧道照明研究大都基于明视觉亮度等物理评价指标,并未充分考虑行车时动态视觉环境的实际时空变化,且未充分反映驾驶者的心理、生理感知及行为反应。鉴于此,对隧道光环境与信息感知进行系统研究,揭示物理量信息与生物量感知的变化趋势及关系,进而提出一系列基于信息感知的隧道光环境评价方法,并通过开展大量静、动态信息感知试验加以验证。结果表明:隧道光环境由物质信息所构成,其特性又由物理量信息所表征;作为人-车-路耦合环境,信息感知既涉及隧道光环境的物理量信息感知,同时也涉及人的心理、生理反应即生物量感知;通过综合分析物理量信息与生物量感知的相互关系形成信息感知机理,构建以信息感知为基础的评价方法,可以为隧道光环境的设计和改善提供理论依据和指标参考。
Current tunnel lighting standards are primarily based on physical evaluation indicators such as luminance in photopic vision,which do not fully consider the actual spatiotemporal variations of the dynamic visual environ⁃ment during driving in tunnel,and also do not adequately reflect the psychological and physiological perceptions as well as the behavioral responses of drivers.In light of this,a systematic study on tunnel lighting environment and in⁃formation perception is conducted to reveal the variation trends and relationships between physical information and physiological perception.Consequently,a series of tunnel lighting environment evaluation methods based on infor⁃mation perception are proposed,and validated through extensive static and dynamic information perception tests.The results show that the tunnel lighting environment consists of material information,which is represented by physi⁃cal quantity information.As a human-vehicle-road coupling environment,information perception involves both the physical quantity information of the tunnel lighting environment and the psychological and physiological responses of humans,i.e.,biological perception.By comprehensively analyzing the relationship between physical quantity in⁃formation and biological perception,the mechanism of information perception is formed,and evaluation methods based on information perception are established.These methods can provide theoretical basis and reference indica⁃tors for the design and improvement of tunnel lighting environments.
作者
梁波
牛佳安
秦灿
何世永
冉以锋
朱双凯
LIANG Bo;NIU Jia'an;QIN Can;HE Shiyong;RAN Yifeng;ZHU Shuangkai(School of Civil Engineering,Chongqing Jiaotong University,Chongqing 400074;State Key Laboratory of Mountain Bridge and Tunnel Engineering,Chongqing Jiaotong University,Chongqing 400074;Chengdu Xinzhu Jiaotong Technology Co.,Ltd.,Chengdu 611430;College Traffic and Transportation,Chongqing Jiaotong University,Chongqing 400074)
出处
《现代隧道技术》
CSCD
北大核心
2024年第4期14-27,40,共15页
Modern Tunnelling Technology
基金
国家自然科学基金(51878107,52378391)
重庆市人才团队项目(2019-9-95)
重庆市研究生科研创新项目(2022B0004).
关键词
隧道光环境
物理量
生物量
信息感知机理
评价方法
Tunnel lighting environment
Physical quantity information
Biological quantity information
Information perception mechanism
Evaluation method