车联网中的交通安全信息证据理论融合算法

摘要

To disseminate the traffic safety information timely and reliably in internet of vehicles,a traffic safety information fusion algorithm was proposed based on the evidence theory.Information fusion decreased the amount of disseminated information by compressing information redundancy.The wireless channel efficiency and information transmission performance were improve& Considering the linear addition characteristic of Cauchy's equation,the correlation of spatio-temporal status parameters from different vehicles was decided by Cauchy's equation.The basic probability assignment of status parameters was obtained using Bajraktarevic's mean function to compute the status parameter sets and their confidences.The time and location parameter sets were fused based on the Dempster rule respectively.Parameters with the maximization confidence were the output for disseminating traffic safety information.Results of simulation show that the proposed algorithm can reduce the spatial error rate and the time error rate,and the complexity of the algorithm can also be reduced effectively.%为解决交通安全信息实时可靠传播问题,提出一种适用于车联网中的交通安全信息证据理论融合算法.通过信息融合减小时空相关信息的冗余性,降低传播信息量,提高信道效率和信息传输性能.利用柯西方程的线性叠加性判决时空相关的交通安全信息,利用Bajraktarevic均值的权值函数实现信息参数的基本概率分配,得到信息参数及其置信度集;基于Dempster融合规则对交通事件的位置和时间信息参数进行融合,选择置信度最大的融合结果作为判决输出进行传播.仿真结果表明,较原有融合算法,所提算法空间误差率和时间误差率降低,有效降低了时间复杂度.