TY - GEN
T1 - MagSpeed
T2 - 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019
AU - Feng, Yimeng
AU - Mao, Guoqiang
AU - Cheng, Bo
AU - Huang, Baoqi
AU - Wang, Shangbo
AU - Chen, Junliang
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85076813756&partnerID=8YFLogxK
U2 - 10.1109/ITSC.2019.8917515
DO - 10.1109/ITSC.2019.8917515
M3 - Conference Proceeding
AN - SCOPUS:85076813756
T3 - 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019
SP - 4281
EP - 4286
BT - 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 27 October 2019 through 30 October 2019
ER -