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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.
| Autorius: | Shin Huey Chen |
| Leidėjas: | LAP Lambert Academic Publishing |
| Išleidimo metai: | 2015 |
| Knygos puslapių skaičius: | 300 |
| ISBN-10: | 3845434570 |
| ISBN-13: | 9783845434575 |
| Formatas: | 220 x 150 x 19 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „A Different Approach to Analyse Data in Road Safety: Mining Patterns and Factors Contributing to Crash Severity on Road Curves“
