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以节点间交互流量的大小作为评价的权重，并考虑信任关系随时间的衰减性，本文提出了一种新的基于直接信任度，推荐信任度与声誉值的信任管理模型DRRtrust模型。仿真实验结果表明该模型能较为有效的分离消除虚假，恶意节点，并且可以根据最近交互情况的不同选择不同的信任计算方法，使信任关系更贴近实际。“,”We use the flow between two nodes as the weight of evaluate. We also consider that the trust value will decrease with the time going by. In this paper we present a new trust model - DRRtrust which is based on direct trust, recommendation trust and reputation. Through the simulation, we get that this model can distinguish and eliminate the malicious and false nodes efficiently. To make the trust relationship be more close to the actual, this model can also change its trust calculation method according to a recent interaction.