Road traffic accidents dissertation

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Research Proposal on Road Traffic Accidents

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The paper presents a comparison between two modeling techniques, Bayesian network and Regression models, by employing them in accident severity analysis. Three severity indicators, that is, number of fatalities, number of injuries and property damage, are investigated with the two methods, and the major contribution factors and their effects are identified. The results indicate that the goodness of fit of Bayesian network is higher than that of Regression models in accident severity modeling. This finding facilitates the improvement of accuracy for accident severity prediction. Study results can be applied to the prediction of accident severity, which is one of the essential steps in accident management process.
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Prediction for Traffic Accident Severity: Comparing the Bayesian Network and Regression Models

A road traffic accident is an accident with causal participation of road users in road transport public roads, paths, and squares. Its regulation is an important area of traffic civil law. A traffic road accident is defined as a criminal offense, when there is damage to property or it has resulted in a personal injury. Personal injury cases are generally notifiable.
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Conceptual and Theoretical Issues 5. Results and Discussion 8. This paper assesses the trends, causes, and costs of road traffic accidents in Ethiopia.
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