基于雾天视觉感知的高速公路限速值优化方法  

Optimization Method for Expressway Speed Limit Based on Foggy Visual Perception

作　　者：刘金松 LIU Jinsong(Henan Zhongping Jiaoke Research and Design Institute Co.,Ltd.,Pingdingshan 467000,China)

机构地区：[1]河南中平交科研究设计院有限公司,河南平顶山467000

出　　处：《科技创新与生产力》2025年第4期130-132,136,共4页Sci-tech Innovation and Productivity

摘　　要：该研究提出基于视觉指标的限速值优化方法,结合激光测距和视频监测技术,采集不同雾天条件下的视觉数据,并提取能见度、驾驶员反应时间及视野范围等关键视觉指标。构建数学模型,将能见度和车辆制动距离等因素纳入限速值计算,验证模型参数的准确性与稳定性。使用仿真平台模拟不同雾天情景,分析车辆行驶行为,优化限速值以提高行车安全。结果表明基于视觉指标的限速策略能够显著提升雾天行车安全性,具有较高的实际应用价值。This study proposes a speed limit optimization method based on visual indicators,combined with laser ranging and video monitoring technology,to collect visual data under different foggy conditions,and extract key visual indicators such as visibility,driver reaction time,and field of view.This study constructs a mathematical model that incorporates factors such as visibility and vehicle braking distance into the calculation of speed limit values to verify the accuracy and stability of model parameters;it simulates different foggy scenarios using a simulation platform,analyzes vehicle driving behavior,optimizes speed limits to improve driving safety.The results indicate that the speed limit strategy based on visual indicators can significantly improve the safety of foggy driving and has high practical application value.

关 键 词：雾天 视觉指标 高速公路 安全管理 

分 类 号：U492.8[交通运输工程—交通运输规划与管理]