It is an essential issue in improving traffic safety in Taiwan though the traffic network has become much more convenient. In addition, the amount of data in databases has been drastically growing. Thus, gathering useful knowledge to resolve problems from databases have become critical. This paper uses the techniques of Two-Step, Self-Organizing Maps (SOM), and K-Means method in data mining to analyze and cluster a large amount of traffic accidents data to possibly provide useful suggestions or decisions to reduce the number of traffic accidents.
