Car navigation system which is killer application fuses map management techniques into CPS techniques. Even if the existing navigation systems are designed for the shortest path, they are not able to cope efficiently with the change of the traffic flow and the bottleneck point of road. Therefore, it is necessary to find out shortest path algorithm based on time instead of distance which takes traffic information into consideration. In this paper, we propose a optimal path search algorithm based on the traffic information. More precisely. we introduce the system architecture for finding out optimal paths, and the limitations of the existing shortest path search algorithm are also analyzed. And then, we propose a new algorithm for finding out optimal path to make good use of the orientation of the collected traffic information.

Our new algorithm optimizes car navigation systems by considering traffic information, improving efficiency in coping with traffic changes and bottleneck points.

A Design of Optimal Path Search Algorithm using Information of Orientation

Key Takeaway: Our new algorithm optimizes car navigation systems by considering traffic information, improving efficiency in coping with traffic changes and bottleneck points.