Title :
Traffic Accident Treatment Expert System Based on Integrated Reasoning
Author :
Xu, Bing ; Yan, Wen-Hua
Author_Institution :
Inf. Coll., Guangdong Ocean Univ., Zhanjiang, China
Abstract :
In order to handle the traffic accidents timely and accurately and draw conclusions from them to formulate measures of preventing similar accidents, an expert system with integrated reasoning method is put forward and applied to traffic accident treatment according to the characteristics of traffic accidents. This method adopts an integrated reasoning approach in which the CBR (case-based reasoning) is the priority with the RBR (rule-based reasoning) as an auxiliary way. The system applies data mining and knowledge obtaining technology to establish knowledge base and traffic accident case base, and uses association rule and decision trees algorithm to calculate case similarity. The experiment shows that the reasoning method can increase the systempsilas flexibility and accuracy, and provide a scientific basis for analysis and treatment of traffic accidents.
Keywords :
case-based reasoning; data mining; decision trees; expert systems; road accidents; road traffic; traffic engineering computing; association rule; case similarity; case-based reasoning; data mining; decision trees algorithm; expert system; integrated reasoning; knowledge base; knowledge obtaining technology; rule-based reasoning; system flexibility; traffic accident treatment; Association rules; Data mining; Decision trees; Expert systems; Industrial accidents; Law; Layout; Reconnaissance; Road accidents; Sea measurements; Integrated reasoning; accident treatment; data mining; similarity; traffic safety;
Conference_Titel :
Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on
Conference_Location :
Zhangjiajie, Hunan
Print_ISBN :
978-0-7695-3583-8
DOI :
10.1109/ICMTMA.2009.474