A Highly Selective Vehicle Classification Utilizing Dual-Loop Inductive Detector
In general, currently employed vehicle classification algorithms based on the magnetic signature can distinguish among only a few vehicle classes. The work presents a new approach to this problem. A set of characteristic parameters measurable from the magnetic signature and limits of their uncertain...
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Polish Academy of Sciences
2014-08-01
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doaj-df9c115668cf4097b09cc70a61b5cf8e2020-11-25T03:21:26ZengPolish Academy of SciencesMetrology and Measurement Systems2300-19412014-08-0121347348410.2478/mms-2014-0040mms-2014-0040A Highly Selective Vehicle Classification Utilizing Dual-Loop Inductive DetectorGajda Janusz0Stencel Marek1AGH-University of Science and Technology, Department of Measurement and Electronics, Al. Mickiewicza 30, 30-059 Krakow, PolandAGH-University of Science and Technology, Department of Measurement and Electronics, Al. Mickiewicza 30, 30-059 Krakow, PolandIn general, currently employed vehicle classification algorithms based on the magnetic signature can distinguish among only a few vehicle classes. The work presents a new approach to this problem. A set of characteristic parameters measurable from the magnetic signature and limits of their uncertainty intervals are determined independently for each predefined class. The source of information on the vehicle parameters is its magnetic signature measured in a system that enables independent measurement of two signals, i.e. changes in the active and reactive component of the inductive loop impedance caused by a passing vehicle. These innovations result in high selective classification system, which utilizes over a dozen vehicle classes. The evaluation of the proposed approach was carried out for good vehicles consisting of 2-axle tractor and a 3-axle semi-trailer.http://www.degruyter.com/view/j/mms.2014.21.issue-3/mms-2014-0040/mms-2014-0040.xml?format=INTinductive loop detectorsmagnetic signaturevehicle classification |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Gajda Janusz Stencel Marek |
spellingShingle |
Gajda Janusz Stencel Marek A Highly Selective Vehicle Classification Utilizing Dual-Loop Inductive Detector Metrology and Measurement Systems inductive loop detectors magnetic signature vehicle classification |
author_facet |
Gajda Janusz Stencel Marek |
author_sort |
Gajda Janusz |
title |
A Highly Selective Vehicle Classification Utilizing Dual-Loop Inductive Detector |
title_short |
A Highly Selective Vehicle Classification Utilizing Dual-Loop Inductive Detector |
title_full |
A Highly Selective Vehicle Classification Utilizing Dual-Loop Inductive Detector |
title_fullStr |
A Highly Selective Vehicle Classification Utilizing Dual-Loop Inductive Detector |
title_full_unstemmed |
A Highly Selective Vehicle Classification Utilizing Dual-Loop Inductive Detector |
title_sort |
highly selective vehicle classification utilizing dual-loop inductive detector |
publisher |
Polish Academy of Sciences |
series |
Metrology and Measurement Systems |
issn |
2300-1941 |
publishDate |
2014-08-01 |
description |
In general, currently employed vehicle classification algorithms based on the magnetic signature can distinguish among only a few vehicle classes. The work presents a new approach to this problem. A set of characteristic parameters measurable from the magnetic signature and limits of their uncertainty intervals are determined independently for each predefined class. The source of information on the vehicle parameters is its magnetic signature measured in a system that enables independent measurement of two signals, i.e. changes in the active and reactive component of the inductive loop impedance caused by a passing vehicle. These innovations result in high selective classification system, which utilizes over a dozen vehicle classes. The evaluation of the proposed approach was carried out for good vehicles consisting of 2-axle tractor and a 3-axle semi-trailer. |
topic |
inductive loop detectors magnetic signature vehicle classification |
url |
http://www.degruyter.com/view/j/mms.2014.21.issue-3/mms-2014-0040/mms-2014-0040.xml?format=INT |
work_keys_str_mv |
AT gajdajanusz ahighlyselectivevehicleclassificationutilizingdualloopinductivedetector AT stencelmarek ahighlyselectivevehicleclassificationutilizingdualloopinductivedetector AT gajdajanusz highlyselectivevehicleclassificationutilizingdualloopinductivedetector AT stencelmarek highlyselectivevehicleclassificationutilizingdualloopinductivedetector |
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1724614728873934848 |