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中文摘要：
随着道路交通量的急剧增加，交通拥挤、交通事故也在不断上升．如何能及时准确地处理交通事故并从中总结经验，吸取教训，制定防止类似事故发生的措施，是目前一项十分紧迫的任务．在深入研究了基于案例推理（CBR）、基于规则推理（RBR）、基于Bayes推理（BBR）方法的基础上提出并实现了一种集成这三种方法的智能推理模型，并把它应用到交通事故处理的推理中．它们的集成实现了优势互补，提高了系统求解问题的效率，增强了系统对不良结构问题的适应性，并且能很好地应用于带有不完全信息或矛盾信息的交通事故处理中．
英文摘要：
With the rapid increase of the road traffic conveyances, traffic jam is caused and accidents go up rapidly. A very pressing task is how to deal with traffic accidents in time accurately and summarize experience to learn the lessons, thus to prevent similar accidens from occurring. Hcrein,a kind of integrated intelligent reasoning model was put forward on the foundation of studying thoroughly the case-based reasoning （CBR）, the rule-based reasoning （RBR） and the hayes based reasoning （BBR） inference method, and was applied to the reasoning of traffic accident handling. This integrated model possesses such complementary advantages that have enhanced the prolblem solving efficiency of the system and strengthened the systematic adaptability for bad structural problem, which can be well applied in the field of traffic trouble handling with either uncompleted information o＇r contradictory information.
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