Traffic Accident Treatment Expert System Based on Integrated Reasoning
- Resource Type
- Conference
- Authors
- Xu, Bing; Yan, Wen-hua
- Source
- 2009 International Conference on Measuring Technology and Mechatronics Automation Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on. 3:637-640 Apr, 2009
- Subject
- Components, Circuits, Devices and Systems
Power, Energy and Industry Applications
Robotics and Control Systems
Road accidents
Expert systems
Data mining
Layout
Association rules
Decision trees
Industrial accidents
Law
Reconnaissance
Sea measurements
traffic safety
accident treatment
data mining
similarity
Integrated reasoning
- Language
- ISSN
- 2157-1473
2157-1481
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 system’s flexibility and accuracy, and provide a scientific basis for analysis and treatment of traffic accidents.