高速公路隧道群的光-车-路动态协同调光与节能控制策略研究OA
Research on Dynamic Coordinated Lighting Control and Energy Saving Strategy for Highway Tunnel Groups
随着交通强国战略与"双碳"目标的深入推进,高速公路网中能耗突出的隧道照明系统节能降耗成为关键课题.传统照明方案存在粗放、滞后等问题,而单纯基于感应触发的新方案亦难以在安全性、舒适性与节能效益间达成系统级最优.本文针对连续长大隧道群场景,提出一种基于高精度车辆轨迹追踪与预测的"光-车-路"动态协同智能调光控制新策略.该策略构建了以路侧雷视融合感知、边缘智能决策为核心,以 LED 灯具为执行单元的闭环系统,实现了照明亮度与动态交通流及行车安全的精准、平滑、超前匹配.相较于传统控制方案,本策略能在保障行车视觉安全的前提下,显著降低照明能耗并为构建绿色低碳、智慧高效的交通基础设施提供了创新技术路径.
With the deep implementation of the transportation power-strong strategy and the"dual carbon"goal,energy consumption of the prominent tunnel lighting system in the highway network has become a key issue.The traditional lighting schemes have problems such as being extensive and lagging behind,while the new schemes based solely on induction triggering are also difficult to achieve the optimal system-level balance among safety,comfort and energy-saving benefits.This paper proposes a new"light-vehicle-road"dynamic coordinated intelligent lighting control strategy for continuous long tunnel groups scenarios.This strategy builds a closed-loop system with roadside radar vision fusion perception and edge intelligent decision-making as the core,and LED lamps as the execution unit,achieving precise,smooth and proactive matching of lighting brightness with dynamic traffic flow and driving safety.Compared with traditional control schemes,this strategy can significantly reduce lighting energy consumption while ensuring driving visual safety,and provides an innovative technical path for building green,low-carbon and intelligent transportation infrastructure.
赵东民
邓州市农村公路管理所,河南 邓州 474100
交通工程
隧道照明节能智慧交通车路协同动态调光雷视融合绿色公路
tunnel lighting energy savingsmart transportationvehicle-road collaborationdynamic lighting controlradar vision fusiongreen road
《交通节能与环保》 2026 (2)
24-27,4
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