近期，我院智能交通實驗室鄭建穎課題組的研究論文發表于期刊IEEE Transaction on Intelligent Transportation Systems，該期刊是面向智能交通系統領域的二區期刊，影響因子為3.724。論文的第一作者是我院2014級碩士研究生王卿同學，相關研究工作的發表，表明我院在智能交通系統領域的相關研究工作已經達到較高水平，同時表明我院研究生的人才培養工作也已經達到較高水平。

王卿同學在鄭建穎副教授的指導下從事基于地磁信号的交通車輛檢測與識别方法研究工作。在前期大量地磁信号分析的基礎上，發現不同方向的地磁信号的夾角具有一定程度的不變性，提出以地磁信号夾角作為車輛檢測特征，實驗驗證在交通環境條件下該地磁特征可以很好的反映車輛，可以有效提高交通車輛檢測準确率。與此同時，通過支持向量機等機器學習方法，排除相鄰車道車輛對當前地磁信号的影響，也可以一定程度提高車輛檢測準确率，達到實際應用的要求。該研究成果為地磁傳感模式在交通環境下的數據獲取大規模應用奠定了基礎，論文的具體信息如下：

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

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

論文摘要：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.

原文鍊接：http://ieeexplore.ieee.org/document/8003296/