为在保证行车安全的基础上降低隧道照明能耗，基于结合罚函数的粒子群优化算法，提出一种以隧道照明总功率为适应度函数，以布灯间距、高度和仰角为自变量，以路面平均亮度、路面亮度总均匀度和路面中线亮度纵向均匀度为约束条件的公路隧道照明布灯参数优化模型。基于羊鹿山隧道现场数据，对优化模型进行模拟应用并求解，得出优化后各照明段平均亮度满足需求亮度，整个隧道相较于优化前可实现节能10.53%。利用Dialux建立仿真场景并对优化结果进行验证，结果显示其照明参数数值与优化模型计算值的误差在10%以内，证明该优化模型具有较好的适用性。

A particle swarm optimization algorithm combined with penalty function is proposed to reduce energy consumption of tunnel lighting so as to ensure safe driving. The proposed technique considers the total power of tunnel lighting as a fitness function and the spacing, height, and elevation of lights as independent variables. The optimization model of highway tunnel lighting parameters is based on the constraints of average road brightness, total uniformity of road brightness, and longitudinal uniformity of road median brightness. The optimization model is simulated and solved using the field data of the Yanglushan tunnel. After optimization, the average brightness of each lighting section fulfills the required brightness, and the energy saving of the whole tunnel achieves 10.53% compared with that before optimization. The Dialux is used to establish simulation scenarios and validate the optimization results. The results show that the error between the lighting parameters and the calculated values of the optimization model is within 10%, which indicates good applicability of the optimization model.