Analysis of traffic accidents on rural highways using Latent Class Clustering and Bayesian Networks
نویسندگان
چکیده
منابع مشابه
Analysis of traffic accidents on rural highways using Latent Class Clustering and Bayesian Networks.
One of the principal objectives of traffic accident analyses is to identify key factors that affect the severity of an accident. However, with the presence of heterogeneity in the raw data used, the analysis of traffic accidents becomes difficult. In this paper, Latent Class Cluster (LCC) is used as a preliminary tool for segmentation of 3229 accidents on rural highways in Granada (Spain) betwe...
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Several different factors contribute to injury severity in traffic accidents, such as driver characteristics, highway characteristics, vehicle characteristics, accidents characteristics, and atmospheric factors. This paper shows the possibility of using Bayesian Networks (BNs) to classify traffic accidents according to their injury severity. BNs are capable of making predictions without the nee...
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INTRODUCTION This study describes a method for reducing the number of variables frequently considered in modeling the severity of traffic accidents. The method's efficiency is assessed by constructing Bayesian networks (BN). METHOD It is based on a two stage selection process. Several variable selection algorithms, commonly used in data mining, are applied in order to select subsets of variab...
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Background: Metabolic syndrome (MetS), a combination of coronary heart disease and diabetes mellitus risk factor, refer to one of the most challenging public health issues in worldwide. The aim of this study was to identify the subgroups of participants in a study on the basis of MetS components. Methods: The cross-sectional study took place in the districts related to Teh...
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Latent class analysis (LCA) is a method of evaluating non sampling errors, especially measurement error in categorical data. Biemer (2011) introduced four latent class modeling approaches: probability model parameterization, log linear model, modified path model, and graphical model using path diagrams. These models are interchangeable. Latent class probability models express l...
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ژورنال
عنوان ژورنال: Accident Analysis & Prevention
سال: 2013
ISSN: 0001-4575
DOI: 10.1016/j.aap.2012.10.016