| Summary: | 碩士 === 國立交通大學 === 交通運輸研究所 === 92 === To promote traffic safety needs to consider many aspects, including several government departments such as engineers, education and law enforcement. The first problem is how to use the limited resource and create the maximum efficiency. According to the experience, most traffic accident cases are caused by human factors. To police department, law enforcement can temporarily resolve the problems and quickly decrease the accident cases, but it not only leads to complain by people but also waste the police human resources. We can effectually prevent the accidents, low the waste of police human resources and raise the satisfaction of people by finding out and preventing the types of violations causing people to be killed or seriously injuredin road accidents.
Nowadays, AI is used for a number of different reasons like searching the traffic accidents, analyzing the degree of severity, and researching the affection between cause and effect. The research builds a model by Neural Networks to predict the severity of injury resulting from traffic accidents at some intersection or on some section of the road. Experiment results reveal that at the intersection the general injury cases is 95﹪and the serious injury and death cases is 42﹪；on section of the road the general injury cases is 92﹪and the serious injury and death cases is 45﹪.Apparently, predicting the severity of injury resulting from traffic accidents model built by Neural Networks works well. The model applied to the road easily happening accidents can predict the types of violations causing serious injury and death cases. We can offer the
warning to the administrator in time and devise proper administration.
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