Paper
Research on Queue Length Estimated Model Based on Traffic Flow Density at Signalized Intersection
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Authors:
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Honghua Yang; Xin Guo; Jiapeng Han
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Abstract
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In this thesis we aim at the key question in the intelligent transportation information system, for prediction of queue length at signalized intersection is urgent to be solved. Think about this, here we put the key point in vehicles. Combining with various traffic information queue length model at signalized intersection was established. Then estimated the model utilizes the actual data from a road of Zibo. The results showed that the model we established had a higher precision than usual queue length estimated model.
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Keywords
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Intelligent Traffic System; Signalized Intersection; Queue Length Prediction Model; Vehicle Density
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StartPage
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85
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EndPage
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87
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Doi
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