基于视觉信息熵的高速公路雾区诱导研究综述

Review of Expressway Fog Area Induction based on Visual Information Entropy

为了进一步研究以驾驶人视觉信息熵为核心的高速公路雾区行车安全问题,对高速公路雾区视觉诱导领域重点问题进行了概述。首先,阐述了雾对交通系统带来的影响,明确了常规性雾天和团雾天气交通事故率上升的根本诱因是雾天导致的能见度下降;然后,阐述了视觉信息熵的概念、计算方法、影响因素,并且对比总结了近几年来比较有代表性的研究成果;最后,根据雾区诱导设施的不同将雾区视觉诱导分为“静态诱导”和“动态诱导”,并结合驾驶人动态视觉对雾区诱导进行研究分析。考虑到目前诱导雾灯存在的不足,未来的研究可从以下方面进行:建立高速公路雾区驾驶人视觉信息熵模型、计算团雾环境不同能见度下的视觉熵值,以便进一步得到驾驶人在不同能见度下可获得的有用信息量;得到视觉熵和视觉信息量的合适阈值,作为高速公路诱导雾灯布设方案的参考。

In order to further study the driving safety issues in foggy areas of expressways with driver visual information entropy as the core,the key problems of visual induction in the fog area are summarized.Firstly,the influence of fog on the traffic system is expounded,and it is clear that the basic reason for the increase of traffic accident rate in conventional fog and mass fog is the decrease of visibility caused by fog.Then,the concept,calculation methods,influencing factors of visual information entropy are elaborated,and representative research achievements in recent years are compared and summarized.Finally,the visual induction of drivers in fog area is classified into “static induction” and “dynamic induction”,and the fog areas induction is analyzed by combining the dynamic vision of drivers.Considering the shortcomings of induced fog lamps,future research can be conducted from the following aspects:to establish the visual information entropy model,calculate the visual entropy value in different visibility of fog environment,so as to further obtain the useful information of drivers in different visibility;to work out the appropriate threshold of visual entropy and visual information,which can be a reference for the layout of expressway induced fog lamps.