In terms of the issue that magneto-resistive sensor nodes have limited working life in vehicle detection,a low power detection method of dual complementary magneto-resistive sensor nodes was proposed to meet the requirements of actual traffic volume and speed detection. This method does not change the nodes layout scheme of existing detection system,with the use of dynamic sampling intervals and alternate complementary work mode to sig-nificantly reduce power consumption in idle state. In the framework of complementary detection, traffic volume algorithm was designed based on multiple intermediate state machine,and velocity algorithm was designed based on signal similarity. Upon analysis of the method, detection parameters can be flexibly adjusted according to the maximum speed of different sections and periods,and the magnitude of power savings can exceed 90% in idle state. Experimental results show that traffic volume algorithm features high accuracy,robustness,the velocity detection can meet the demand of traffic information collection,and the complementary method achieves good power performance under different traffic density.%针对目前磁阻车辆检测存在检测节点寿命不足的问题，结合实际车流量和车速检测需求，提出了一种双磁阻节点互补的低功耗车辆检测方法。该方法在已有检测系统节点布设方案基础上，结合了动态采样间隔策略与节点轮流互补工作方式，可大幅减少节点功耗浪费。在互补检测框架下设计了基于多中间状态机的车流量检测算法，并提出利用信号相似性测速的算法。经分析得到互补检测参数设定方法，可根据不同路段和时段最大车速灵活调整参数，并证明了对无车时功耗节省幅度可超过90%。实验结果表明，互补检测下车流量准确率高，鲁棒性好，车速检测可满足交通信息采集需求，互补检测在实际不同密度车流下均有显著降耗效果。
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