山东科学2012，Vol.25Issue(4)：64-68,5.
公路隧道照明智能控制技术研究
Research on intelligent control of highway tunnel illumination
摘要
Abstract
We deployed velocity coils at some suitable locations and employed RBF neural network to predict the velocity between two adjacent coils for the implementation of such intelligent control technology as light following vehicle.We also constructed a tunnel characteristic based tunnel stopping sight distance model,which determined a realistic and safe light length.We eventually presented the idea of smart illumination control.The analysis of practical cases shows that energy saving rate is more than 90% when the traffic throughput is lower than 3 000 pcu a day.关键词
隧道照明/RBF神经网络模型/隧道停车视距/智能控制Key words
tunnel illumination/RBF neural network model/tunnel stopping sight distance/intelligent control分类
交通工程引用本文复制引用
罗海星,袁振洲,况爱武..公路隧道照明智能控制技术研究[J].山东科学,2012,25(4):64-68,5.基金项目
国家重点基础研究发展计划（973计划） （）
中央高校基本科研业务费专项资金 （）
