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

Abstract

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 thispaper wepropose 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 tofind a properpath between source and destination. Theproposed model is suitablefor modification for random waypoint model and can be applied in mobile network simulation and intelligent transport system control.

Vehicular Ad Hoc Networks

“…Using of the real maps, for VANET modelling, results in the better simulation in comparison to a general random waypoint modelling, which is more appropriate for MANET. More on random waypoint mobility modelling can be found in [30][31][32].…”