适用于VANET仿真的车辆合成运动模型

Vehicle Synthetic Mobility Model for VANET Simulation

车载自组网(VANET)是移动Ad Hoc网络技术在交通领域的应用,已成为智能交通系统一项非常有前景的技术。准确反映节点运动方式的运动模型对于提高仿真实验准确性至关重要。首次利用了实际的卫星地图信息,在考虑实际道路环境特点基础上实现了新的节点运动模型——车辆合成运动模型,将该模型与随机路点模型和曼哈顿模型进行了对比,并在根据西安城区卫星地图构建的仿真场景中分别采用3种节点运动模型,利用QualNet仿真平台评估了不同节点运动模型对路由协议性能的影响。结果表明,节点运动模型对协议性能影响很大,分析认为合成运动模型更适合于VANET仿真研究。

As an application of Mobile Ad hoe Network （MANET） in the transportation realm,Vehicular Ad hoe Net- work （VANET） is a promising technology in Intelligent Transportation Systems （ITS）. Since accurate node mobility model is important for simulation,we proposed a Synthetic Mobility Model （SMM） for modeling vehicles mobility pattern based on real city satellite map and real road conditions. SMM, Random Waypoint model and Manhattan model were compared by analysis and simulation experiments based on real Xi＇an satellite map under QualNet. The result shows that mobility models make a great impact on the routing protocol performance and our SMM is much better to be used for VANET simulation.