首页|期刊导航|山东理工大学学报(自然科学版)|基于视觉特征的高速公路连续信息发布策略研究

基于视觉特征的高速公路连续信息发布策略研究OA

Study on continuous information release strategy for highways based on visual characteristics

中文摘要英文摘要

针对高速公路连续可变信息板(VMS)场景下驾驶员信息忽略的认知机制缺失问题,基于认知负荷理论,系统探究信息组合策略及发布强度对驾驶员视觉认知效能与驾驶安全性的动态影响规律.结果表明:(1)连续通过多个 VMS 时,驾驶员注视点衰减明显,Jaccard 相似性指数达0.57,空间重叠特征明显,视觉资源分配效率下降;(2)交替式策略通过周期性切换信息类型,使瞳孔扩张面积较基线值提升12.5%,下游VMS视认负荷降低33.92%;(3)提出强度-策略耦合原则,构建了可动态适配发布强度与策略的分级动态切换框架,在高强度场景下交替式策略车速变异系数降低17%、车头时距偏差降低20.1%,在中低强度场景中组合式策略安全系数提升11.7%.研究成果为高速公路动态VMS系统优化提供了理论范式与定量依据.

Targeting the cognitive mechanisms of driver information neglect in the continuous Variable Message Signs(VMS)scenario of highways,this study systematically explores the dynamic influence of information combination strategy and release intensity on driver visual cognitive effectiveness and driving safety,based on cognitive load theory.The results show that:(1)When passing through multiple VMSs continuously,the driver's gaze point decays significantly,with a Jaccard similarity index of 0.57,indica-ting clear spatial overlap and a decrease in the visual resource allocation efficiency;(2)The alternating strategy,by periodically switching the information types,increases the pupil dilated area by 12.5%com-pared with the baseline value,and reduces the visual recognition load of downstream VMS by 33.92%;(3)The"strength-strategy coupling principle"is proposed,and a hierarchical dynamic switching frame-work that can dynamically adapt to release intensity and strategy is constructed.In high-intensity scenari-os,the alternating strategy lowers the vehicle speed variation coefficient by 17%,and headway deviation by 20.1%.The combined strategy in medium-to-low intensity scenarios increases the safety coefficient by 11.7%.The research findings provide a theoretical paradigm and quantitative basis for the optimization of dynamic VMS systems on highways.

周纪元;韩童;吕伯淇;牟振华

山东建筑大学 交通工程学院,山东 济南 250101山东建筑大学 交通工程学院,山东 济南 250101山东建筑大学 交通工程学院,山东 济南 250101山东建筑大学 交通工程学院,山东 济南 250101

交通工程

交通安全VMS信息发布模拟驾驶视觉特征高速公路交通管理

traffic safetyVMS information disseminationsimulated drivingvisual characteristicshighwaytraffic management

《山东理工大学学报(自然科学版)》 2026 (3)

31-38,8

交通运输部交通运输行业重点科技攻关项目(2021-ZD2-047)山东省交通科技计划项目(2021B49)

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