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

Feng, Y; Mao, G; Cheng, B; Huang, B; Wang, S; Chen, J

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

Feng, Y

Mao, G

Cheng, B Huang, B Wang, S Chen, J

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Publication Type:: Conference Proceeding
Citation:: 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019, 2019, pp. 4281 - 4286
Issue Date:: 2019-10-01

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Field	Value	Language
dc.contributor.author	Feng, Y https://orcid.org/0000-0002-3605-6829	en_US
dc.contributor.author	Mao, G https://orcid.org/0000-0002-3598-4949	en_US
dc.contributor.author	Cheng, B	en_US
dc.contributor.author	Huang, B	en_US
dc.contributor.author	Wang, S	en_US
dc.contributor.author	Chen, J	en_US
dc.date.issued	2019-10-01	en_US
dc.identifier.citation	2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019, 2019, pp. 4281 - 4286	en_US
dc.identifier.isbn	9781538670248	en_US
dc.identifier.uri	http://hdl.handle.net/10453/137286
dc.description.abstract	© 2019 IEEE. 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.	en_US
dc.relation.ispartof	2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019	en_US
dc.relation.isbasedon	10.1109/ITSC.2019.8917515	en_US
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	MagSpeed: A Novel Method of Vehicle Speed Estimation Through A Single Magnetic Sensor	en_US
dc.type	Conference Proceeding
utslib.for	0805 Distributed Computing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2021-10-27T00:00:00+1100
pubs.publication-status	Published	en_US

Abstract:

© 2019 IEEE. 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.

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http://hdl.handle.net/10453/137286