Prototype Research On Case-based Reasoning And Rule-based Reasoning For Expert System Of Traffic Accident Diagnosis

Nowadays, traffic accident is a big problem all over the world. Two tasks confronted us: one is how to prevent and reduce traffic accidents, the other is how to deal with them correctly and rapidly. In this paper, our aim is the latter.At first we analyzed the activity of road traffic accident diagnosis in our country in brief, and then put forward making use of the technology of artificial intelligence to build an expert system. To realize it, the total frame of integrating case-based reasoning and rule-based reasoning expert system for traffic accident disposing is proposed. Beginning with the essential characteristics, by analyzed the demand of case representation and case retrieval in traffic accident expert system, we designed its case bank and realized it by related database.According to the process of traffic accident disposing, the main problems of the system such as a rapid sketch of the accident scene, compute of the related accident vehicles' speed and the responsibility of the accident are analyzed. Furthermore, this paper put forward the framework of the expert system and the approach to implement the design above. At last the prototype has been realized with the RAD tools(Borland Delphi6.0 and SQL Server2000) and passed the software test.