An agent-based study on personalized travel information service

In the research area of traveler information service under intelligent transportation systems (ITS), while studying how to provide travelers real-time information we must consider how to satisfy travelers' personal demands for their personal differences. The content of personalized information service is analyzed in this paper. The concept of advanced information service has been put forward from the aspect of information service level. Decision tree approach of data mining is adopted to get travelers' personal information demands, used agent technology to establish the model of information service terminal and defined the functions of the components. Based on the mobile terminals the information service network has been established, and the architecture model of information service network has also been presented.