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Urban Road Guide Sign’s Visual Cognition Analysis And Quantitative Comparison

Posted on:2022-10-30Degree:MasterType:Thesis
Country:ChinaCandidate:C X LiFull Text:PDF
GTID:2492306569950719Subject:Traffic and Transportation Engineering
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Road guide signs provide drivers with key traffic information and help drivers reach their destination quickly and accurately.However,the current design standards for road guide signs are not uniform,and some road guide signs have a large amount of information and complex layouts.This situation increases the difficulty for drivers to obtain the guide signs’ target information,seriously affects traffic safety and efficiency.It is necessary to conduct in-depth research on the road guide signs’ key components and their impact on the drivers’ safe driving.Firstly,an E-Prime experimental platform based on cognitive psychology was built.Through the subjects’ visual cognition response to the road signs,the multi-factor interaction method was used to explore the impact of key components of road signs on the legibility time of drivers.A factors affecting measurement model of the driver’s legibility time was established to quantitatively analyze the influence of each factor on the driver’s legibility time.The results show that the legibility time is affected by the interaction of layout and information,gender and driving experience,driving experience and road name familiarity.Male experienced drivers perform significantly better than female experienced drivers and male novice drivers on the task of visual cognition of target road names.When the "unfamiliar" target road name is adopted,the legibility time of novice drivers is significantly longer than that of experienced drivers.The text combination variable has no significant effect on the legibility time,and there is no interaction with other variables.Based on the factors affecting measurement model of driver’s legibility time,the amount of information has the greatest influence on the dependent variable,followed by gender and road name familiarity.Based on the calculation and analysis of the measurement model,it is recommended that the limit information of the road guide signs should not exceed 7.Based on the analysis results of the influencing factors of the E-Prime psychology test,the components of the guide signs were screened,and the visual cognition task of simulated driving was designed and organized to study the influence of the guide signs on the driver’s legibility time and the vehicle running state during the driving process.The results show that there is a significantly positively correlation between the legibility time of the same subject in the simulated driving test and the cognitive psychology test.And the target road name familiarity effect has a positive impact on the driver.When the target road name is “familiar”,the driver’s driving process is more efficient and smooth.Different types of road signs have no significant effect on the speed standard deviation and acceleration standard deviation.With the increase of non-target interference information in the road signs,drivers tend to reduce the speed,their speed stability decreases,and the ability to control the vehicle laterally is weakened.Under the influence of the same type of road signs,women’s vehicle horizontal and vertical direction control ability is significantly better than that of men,and the speed of experienced drivers is significantly higher than that of novice drivers.Finally,in order to quantitatively compare the impact of various guide signs on the safe driving of drivers,the legibility time and vehicle operating state indicators were used as evaluation indicators,and the comprehensive and quantitative comparisons of various guide signs schemes were based on factor analysis and gray correlation method.The results show that the quantitative evaluation results of the comprehensive methods are reliable,and the“information arrangement two” guide sign is more worthy of recommendation.
Keywords/Search Tags:Traffic safety, Guide signs, Legibility time, Driving simulator experiment, Factor analysis, Grey correlation
PDF Full Text Request
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