Intelligent Vehicle Mobility Modeling Based on a Sub-Optimal Path Finding Method

In mobile communications, mobility modeling is involved in several aspects such as signaling and traffic load analysis. In particular, accuracy of mobility models become essential for the evaluation of system design alternatives and network implementation cost issues. In this paper we propose a new method in which many important issues such as streets topology and traffic conditions are considered to model the user movement in a real environment. By using this model we also propose a new intelligent algorithm based on a sub-optimum path finding method to find a proper path between source and destination. The proposed model is suitable for modification for random waypoint model and can be applied in mobile network simulation and intelligent transport system control