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Research On Recognition Evaluation Technology Of Urban Interchange’s Entrances During Nightime In Rain

Posted on:2018-12-04Degree:MasterType:Thesis
Country:ChinaCandidate:Z Q LingFull Text:PDF
GTID:2322330518953470Subject:Road and Railway Engineering
Abstract/Summary:PDF Full Text Request
The interchange entrance has a significant impact on the traffic efficiency and safety of the interchange area as a traffic diversion node.In the rainy night environment,the intersection of the entrance section of the identification of reduced,easy to prevent the driver to obtain the necessary traffic information,and even produce false guidance.This paper first analyzes the factors that affect the identification of the interchange of the driver of the rainy day at the time of the rain-day night driving by analyzing the geometric characteristics of the road,the marking and the setting of the mark and other relevant information,and determined by the principal component analysis The speed of the deceleration lane,the ambient illumination,the speed and the amount of sign information are key factors affecting the identification.And then under the conditions of the rainy night under the conditions of the real vehicle eye movement test,access to the driver’s gaze point distribution,gaze times,watching time,pupil diameter,eye angle and other eye movement data,through the test data classification,testing and other statistics The paper analyzes the change law of the eye movement in the course of the interchange of the entrance section,and then studies the path of the driver’s tracing process,and divides the intersection identification section.The influence degree of the different factors on the entrance of the interchange was calculated,and the evaluation index of the interchange entrance was made based on the cumulative nighttime environment of the driver’s accumulated time.The BP artificial neural network method was used to establish the evaluation model of the urban interchange section of the rainy night,and the validity and reliability of the model were verified.Finally,the relevant improvement measures and suggestions are put forward for the problems of the identification of the interchange at the rainy night environment.The data analysis results and the established evaluation model of the evaluation can be used as a technical means for the evaluation of the identification of the actual interchange,and also provide the theoretical basis for its identification improvement.
Keywords/Search Tags:Urban road, interchange entrance, recognition, Cumulative gaze time, artificial neural network
PDF Full Text Request
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