感知实时车流信息的VANET路由仿真研究

Simulation Research on VANET Routing with Real-time Vehicular Traffic Aware

车用自组织网络利用车辆间通讯来提高道路交通安全和效率,路由协议的性能至关重要。提出一种感知实时车流信息的路由协议,能够不依赖于基础设施,通过挖掘和汇聚车辆位置数据,实现城市道路上的车流密度估算,并给出车流自适应路径选择方法,动态产生及维护由多条道路连成的数据包传递路径。对车辆高密度和低密度场合下的仿真表明,在网络开销没有明显增长的情况下,协议可以获得较好的性能,数据包递送率达到83%以上,平均发送延迟限制在2秒以内。

Inter-vehicle communication can help to improve traffic safety and efficiency in VANET.As a prerequisite,an efficient route must be established.A routing protocol with real-time vehicular traffic aware was proposed,where the support of infrastructure was not required.Location information was analyzed and aggregated to estimate vehicle densities of urban roads.Besides,a traffic adaptive route decision method is proposed,which dynamically created and updated paths consisting of successive roads.The simulations in dense and sparse scenarios show that the protocol performs better with similar network overheads.The delivery ratio can achieve 83% at lowest and the average delay is reduced less than 2s.