公路隧道智能调光控制影响因素分析
Influencing Factors of Intelligent Dimming Control in Highway Tunnels
郭芳红1
作者信息
- 1. 山西省交通信息通信有限公司,山西 太原 030006
- 折叠
摘要
为研究不同因素对隧道入口段和中间段照明亮度智能调光控制的影响,利用BP神经网络建立网络模型进行分析.分析计算结果得出:隧道内车速超过60 km/h应采用智能调光控制;交通量对隧道各照明段的影响相对较小,随交通量增加大体呈线性增加;随洞外亮度增加入口段亮度大体呈线性增加,且增幅较大,说明洞外亮度对入口段亮度影响较大.
Abstract
This paper established a network model by BP neural network to study the influences of different factors on intelligent dimming control at the entrance and middle section of the tunnel.After analyzing the calculation result,it was concluded that when the driving speed in the tunnel is over 60 km/h,the intelligent dimming control should be used.The traffic volume had relatively less effect on each illumination section in the tunnel which generally increased linearly with the increase of the traffic volume.The brightness at the entrance significantly increased linearly with the increase of the brightness outside the tunnel,indicating that the influence of the brightness outside the tunnel was large on the brightness at the entrance.
关键词
公路隧道/智能调光控制/BP神经网络/影响因素/交通量/洞外亮度Key words
highway tunnel/intelligent dimming control/BP neural network/influencing factor/traffic volume/outside brightness引用本文复制引用
出版年
2024
NETL
NSTL
万方数据