Evolution modeling of collective vehicles in vehicle ad hoc networks

Abstract

Vehicular ad hoc networks (VANETs) are considered as one of most promising technologies for facilitating intelligent transportation system (ITS) that includes road safety, traffic management, and infotainment dissemination. However, most of existing models cannot support the dynamic interactions between traveling of vehicles and road information. This paper presents an evolution model for VANETs, which can describe the dynamic interaction process between the group movement behaviors of vehicles and road information from environments or from neighborhood vehicles. Simulation of typical scenarios indicates that vehicle traffic follows a kind of blind obedience, which inspires us that, through the control or influence of the state of some vehicles, it can be expected to find some technical means to control or induce evolutionary behavior of the entire transportation.