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作 者:Kun Wang Weihua Zhang Zhongxiang Feng Cheng Wang
机构地区:[1]College of Civil Engineering,Hefei University of Technology,Hefei,China [2]School of Automobile and Traffic Engineering,Hefei University of Technology,Hefei,China
出 处:《Journal of Intelligent and Connected Vehicles》2020年第1期30-36,共7页智能网联汽车(英文)
基 金:supported by the National Natural Science Foundation of China[grant No.51878207,51678211,51578236,71971073].
摘 要:Purpose–The purpose of this paper is to performfine classification of road traffic visibility based on the characteristics of driving behavior under different visibility conditions.Design/methodology/approach–A driving simulator experiment was conducted to collect data of speed and lane position.ANOVA was used to explore the difference in driving behavior under different visibility conditions.Findings–The results show that only average speed is significantly different under different visibility conditions.With the visibility reducing,the average vehicle speed decreases.The road visibility conditions in a straight segment can be divided intofive levels:less than 20,20-30,35-60,60-140 and more than 140 m.The road visibility conditions in a curve segment can be also divided into four levels:less than 20,20-30,35-60 and more than 60 m.Originality/value–Afine classification of road traffic visibility has been performed,and these classifications help to establish more accurate control measures to ensure road traffic safety under low-visibility conditions.
关 键 词:SPEED Driving simulator experiment Lane position Low visibility Traffic safety
分 类 号:X51[环境科学与工程—环境工程]
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