城市水下特长隧道中部光环境优化设计方法

Light environment optimization design for middle of super-long urban underwater tunnel

为进一步优化城市水下特长隧道中部的光环境,基于设置多频率多尺度韵律型信息的思路,提出一种隧道光环境优化设计方法,利用3ds Max仿真软件制作行车仿真模型,以刺激物的主观等同速度(SSES)和安全感知距离为评价指标,采用E-prime软件组织车速感知心理物理试验,并分析试验数据。结果表明:隧道光环境优化后,驾驶员的速度感知能力由优化前的速度低估(14. 40%)提高为速度高估(15. 89%),反应时间由优化前的4. 11 s降低为2. 19 s;驾驶员的距离感知能力得到显著提高,同时行驶速度对于驾驶员距离感知能力的影响不再显著。

In order to further improve the driving environment in the middle of the super-long urban underwater tunnel,based on the idea of utilizing multi-frequency and multi-scale rhythm type information,an optimization design was proposed for tunnellight environment.A driving simulation model was built by using the 3 ds Max,then stimulation of subjectively equal speed and perceptible safe distance were selected as evaluation indicators.Speed perception psychophysical experiments based on E-prime software were conducted.The experimental data were analyzed.The results show that after optimizing the tunnel light environment,the driver’s speed perception ability is improved from the previous underestimation of the speed(14.40%)to the present overestimation of the speed(15.89%),and the reaction time is reduced from 4.11 s to 2.19 s,and that the driver’s distance perception ability is remarkably improved,and the driving speed has no prominent influence on it.