MagSpeed: A Novel Method of Vehicle Speed Estimation Through A Single Magnetic Sensor

被引：0
|
作者：
Feng, Yimeng [1 ,2 ]
Mao, Guoqiang [2 ,3 ]
Cheng, Bo [1 ]
Huang, Baoqi [4 ]
Wang, Shangbo [5 ]
Chen, Junliang [1 ]
机构：
[1] Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing, Peoples R China
[2] Univ Technol, Sch Elect & Data Engn, Sydney, NSW, Australia
[3] Xidian Univ, State Key Lab Integrated Serv Networks, Xian, Shaanxi, Peoples R China
[4] Inner Mongolia Univ, Coll Comp Sci, Hohhot, Peoples R China
[5] Univ Sydney, Business Sch, Inst Transport & Logist Studies, Sydney, NSW, Australia
来源：
2019 IEEE INTELLIGENT TRANSPORTATION SYSTEMS CONFERENCE (ITSC) | 2019年
关键词：
CLASSIFICATION;
D O I：
暂无
中图分类号：
U [交通运输];
学科分类号：
08 ; 0823 ;
摘要：
Internet of Things (IoT) is playing an increasingly important role in Intelligent Transportation Systems (ITS) for real-time sensing and communication. In ITS, the velocity of vehicles provides important information for traffic management. However, the present methods for monitoring vehicle speed have many shortcomings. In this paper, we propose MagSpeed, a novel vehicle speed estimation method based on a small magnetic sensor. The developed magnetic sensor system is wireless, cost-effective, and environmental-friendly. Through modelling of local magnetic field perturbations caused by a moving vehicle, we extract the characteristics of magnetic waveforms for speed estimation. In addition, we compare the performance of the models with other speed estimation algorithms, which shows the superior accuracy of the proposed technique in speed estimation.
引用
收藏
页码：4281 / 4286
页数：6
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