Expectation-Maximization Based Algorithm for Pattern Recognition in Traffic Speed Distribution

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Please use this identifier to cite or link to this item: http://chur.chu.edu.tw/handle/987654321/35991

Title:	Expectation-Maximization Based Algorithm for Pattern Recognition in Traffic Speed Distribution
Authors:	羅仕京 Lo, Shih-Ching
Contributors:	運輸科技與物流管理學系 Transportation Technology and Logistics Management
Keywords:	signal processing;pattern recognition;Gaussian mixture;multiclass users traffic flow;expectation-maximization algorithm
Date:	2013
Issue Date:	2014-06-27 10:59:39 (UTC+8)
Abstract:	Understanding driving behavior is a complicated researching topic. To describe accurate speed, flow and density of a multiclass users traffic flow, an adequate model is needed. Mostly, user-classes are categorized by vehicle type characteristics. However,
Appears in Collections:	[Department of Transportation Technology and Logistice Management] Journal Articles

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