On key technology of service recommendation system for car navigation

The traditional service of car navigation system is provided by the in-car navigation. When the route programming for driving is formulated, only a few factors, such as the shortest distance to the destination, the shortest traveling time, whether or not passing some point and whether or not avoiding some road, are taken into account, but some important real-time traffic information of roads, e.g., traffic jam or road maintenance, are not take into consideration. It makes that the navigation device be unable to provide personalized service and the route programming be sometime unfeasible. In this paper, firstly the context-aware based architecture of car navigation service recommendation system is presented. By this recommendation system user may customize navigation service to the recommendation system by means of the navigation device in car, and the latter searches and computes the optimal paths according to the real-time traffic information of the roads, and dynamically adjust the optimal paths in line with the real-time traffic information and provides dynamic navigation service to the former. Then the model of assessing the context information and routing optimization is proposed. Q-method is used to compute optimal driving paths based on real-time information about dynamic traffic networks. Finally a simple data case is employed to verify the model of assessing the context information and routing optimization and the result shows that the method proposed in this paper is superior to the traditional one.