Driver Behavior's KDD and its application in driver status warning system

Abstract

The knowledge discovery of driver behavior in traffic accident database is implemented based on multi-agent technology. The multi-agent technology helps to solve the complexity problems of both discovery and driver's behavior, and achieve more intelligence for driver behavior knowledge discovery. The application of pair-database-coordination mechanism and heuristic algorithm makes the knowledge discovery go in the direction of the system's automation convergence, and it improves the efficiency of whole discovery process. Multithread technology and different KDD (knowledge discovery in database) methods are also introduced to knowledge discovery of driver behavior in traffic accident database. The mining result shows that KDD in the database of traffic accident based on multi-agent is effective. The beneficial knowledge of driver behavior is obtained, and a framework which apply driver behavior knowledge to driving status warning system is prompted.