9th International Conference on Communications and Networking in China

Research Article

Evolution Modeling of Collective Vehicles in Vehicle Ad Hoc Networks

  • @INPROCEEDINGS{10.4108/icst.chinacom.2014.256392,
        author={Longjiang Li and Jianjun Yang and Yuming Mao},
        title={Evolution Modeling of Collective Vehicles in Vehicle Ad Hoc Networks},
        proceedings={9th International Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2015},
        month={1},
        keywords={biological collective behavior; evolution model; simulation; intelligent transportation systems; vehicle ad hoc networks;},
        doi={10.4108/icst.chinacom.2014.256392}
    }
    
  • Longjiang Li
    Jianjun Yang
    Yuming Mao
    Year: 2015
    Evolution Modeling of Collective Vehicles in Vehicle Ad Hoc Networks
    CHINACOM
    IEEE
    DOI: 10.4108/icst.chinacom.2014.256392
Longjiang Li1,*, Jianjun Yang1, Yuming Mao1
  • 1: Key Lab of Optical Fiber Sensing and Communications, School of Communication & Information Engineering, University of Electronic Science and Technology of China
*Contact email: longjiangli@uestc.edu.cn

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.