This is a study to identify the contributing factors of crashes on road curves and understand the effect of various dependencies between these factors on crash severity. Data mining techniques are employed based on the ability to identify patterns and the various dependencies between the contributing factors among vague, uncertain and imprecise data that characterised the insurance incident records. Results are more meaningful when the dependencies between the contributing factors are determined. This technique complements existing statistically based tools approach to analyse road crashes. The data mining approach is supported with proven theory and will allow road safety practitioners to effectively understand the dependencies between contributing factors and the crash type with the view to design tailored countermeasures.
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Shin Huey Chen graduated from The University of Western Australia with Masters in Computer Science. Following the completion of her Masters, Chen joined The Centre for Accident Research and Road Safety -Queensland (CARRS-Q) to commerce a multidisciplinary PhD that uses theories from traffic engineering, road safety and computer science.
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This is a study to identify the contributing factors of crashes on road curves and understand the effect of various dependencies between these factors on crash severity. Data mining techniques are employed based on the ability to identify patterns and the various dependencies between the contributing factors among vague, uncertain and imprecise data that characterised the insurance incident records. Results are more meaningful when the dependencies between the contributing factors are determined. This technique complements existing statistically based tools approach to analyse road crashes. The data mining approach is supported with proven theory and will allow road safety practitioners to effectively understand the dependencies between contributing factors and the crash type with the view to design tailored countermeasures. 300 pp. Englisch. Seller Inventory # 9783845434575
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Chen Shin HueyShin Huey Chen graduated from The University of Western Australia with Masters in Computer Science. Following the completion of her Masters, Chen joined The Centre for Accident Research and Road Safety -Queensland (CARR. Seller Inventory # 5482387
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Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. A Different Approach to Analyse Data in Road Safety | Mining Patterns and Factors Contributing to Crash Severity on Road Curves | Shin Huey Chen | Taschenbuch | 300 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783845434575 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 106750175
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This is a study to identify the contributing factors of crashes on road curves and understand the effect of various dependencies between these factors on crash severity. Data mining techniques are employed based on the ability to identify patterns and the various dependencies between the contributing factors among vague, uncertain and imprecise data that characterised the insurance incident records. Results are more meaningful when the dependencies between the contributing factors are determined. This technique complements existing statistically based tools approach to analyse road crashes. The data mining approach is supported with proven theory and will allow road safety practitioners to effectively understand the dependencies between contributing factors and the crash type with the view to design tailored countermeasures.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 300 pp. Englisch. Seller Inventory # 9783845434575
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This is a study to identify the contributing factors of crashes on road curves and understand the effect of various dependencies between these factors on crash severity. Data mining techniques are employed based on the ability to identify patterns and the various dependencies between the contributing factors among vague, uncertain and imprecise data that characterised the insurance incident records. Results are more meaningful when the dependencies between the contributing factors are determined. This technique complements existing statistically based tools approach to analyse road crashes. The data mining approach is supported with proven theory and will allow road safety practitioners to effectively understand the dependencies between contributing factors and the crash type with the view to design tailored countermeasures. Seller Inventory # 9783845434575
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