近期，我院智能交通实验室郑建颖课题组的研究论文发表于期刊IEEE Transaction on Intelligent Transportation Systems，该期刊是面向智能交通系统领域的二区期刊，影响因子为3.724。论文的第一作者是我院2014级硕士研究生王卿同学，相关研究工作的发表，表明我院在智能交通系统领域的相关研究工作已经达到较高水平，同时表明我院研究生的人才培养工作也已经达到较高水平。

王卿同学在郑建颖副教授的指导下从事基于地磁信号的交通车辆检测与识别方法研究工作。在前期大量地磁信号分析的基础上，发现不同方向的地磁信号的夹角具有一定程度的不变性，提出以地磁信号夹角作为车辆检测特征，实验验证在交通环境条件下该地磁特征可以很好的反映车辆，可以有效提高交通车辆检测准确率。与此同时，通过支持向量机等机器学习方法，排除相邻车道车辆对当前地磁信号的影响，也可以一定程度提高车辆检测准确率，达到实际应用的要求。该研究成果为地磁传感模式在交通环境下的数据获取大规模应用奠定了基础，论文的具体信息如下：

标题：Roadside Magnetic Sensor System for Vehicle Detection in Urban Environments

作者：Qing Wang, Jianying Zheng, Hao Xu, Bin Xu, Rong Chen

论文摘要：Intelligent Transportation Systems (ITS) are widely researched to improve the traffic situation. In ITS, vehicle detection system plays a significant role. At present, vehicle detection is often conducted by inductive loops, which are very expensive and inconvenient to install and maintain. Video camera is another frequently used detector, but it needs high computing power. In order to solve these problems, this paper focuses on the development of a roadside magnetic sensor system for vehicle detection. The device is installed at the side of the road and measures traffic in the adjacent lane (the closest lane to the sensor node). The data are transmitted by the IEEE 802.15.4 communication protocol. A novel adapted threshold state machine algorithm is proposed to detect vehicles. Since false judgments created by large vehicles passing in the nonadjacent lane (the lane next to the closest lane to the sensor node) are frequent in urban environments, a novel feature extracted by fusion of three magnetic sensor signals are proposed to reduce this error. The developed magnetic sensor system is wireless, compact, and cost-effective. The experimental results show that the proposed system achieves high accuracy and is viable in urban environments.

原文链接：http://ieeexplore.ieee.org/document/8003296/