Wireless magnetic sensor network for road traffic monitoring and vehicle classification

5.00
Hdl Handle:
http://hdl.handle.net/10547/622026
Title:
Wireless magnetic sensor network for road traffic monitoring and vehicle classification
Authors:
Velisavljević, Vladan ( 0000-0001-9980-9368 ) ; Cano, Eduardo; Dyo, Vladimir; Allen, Ben
Abstract:
Efficiency of transportation of people and goods is playing a vital role in economic growth. A key component for enabling effective planning of transportation networks is the deployment and operation of autonomous monitoring and traffic analysis tools. For that reason, such systems have been developed to register and classify road traffic usage. In this paper, we propose a novel system for road traffic monitoring and classification based on highly energy efficient wireless magnetic sensor networks. We develop novel algorithms for vehicle speed and length estimation and vehicle classification that use multiple magnetic sensors. We also demonstrate that, using such a low-cost system with simplified installation and maintenance compared to current solutions, it is possible to achieve highly accurate estimation and a high rate of positive vehicle classification.
Affiliation:
University of Bedfordshire; European Commission, Joint Research Centre; University of Oxford
Citation:
Velisavljevic V, Cano E, Dyo V, Allen B (2016) 'Wireless magnetic sensor network for road traffic monitoring and vehicle classification', Transport and Telecommunication Journal, 17 (4), pp.274-288.
Publisher:
De Gruyter Open
Journal:
Transport and Telecommunication Journal
Issue Date:
23-Nov-2016
URI:
http://hdl.handle.net/10547/622026
DOI:
10.1515/ttj-2016-0024
Additional Links:
https://www.degruyter.com/view/j/ttj.2016.17.issue-4/ttj-2016-0024/ttj-2016-0024.xml
Type:
Article
Language:
en
ISSN:
1407-6179
EISSN:
1407-6179
Appears in Collections:
Engineering

Full metadata record

DC FieldValue Language
dc.contributor.authorVelisavljević, Vladanen
dc.contributor.authorCano, Eduardoen
dc.contributor.authorDyo, Vladimiren
dc.contributor.authorAllen, Benen
dc.date.accessioned2017-02-23T09:56:33Z-
dc.date.available2017-02-23T09:56:33Z-
dc.date.issued2016-11-23-
dc.identifier.citationVelisavljevic V, Cano E, Dyo V, Allen B (2016) 'Wireless magnetic sensor network for road traffic monitoring and vehicle classification', Transport and Telecommunication Journal, 17 (4), pp.274-288.en
dc.identifier.issn1407-6179-
dc.identifier.doi10.1515/ttj-2016-0024-
dc.identifier.urihttp://hdl.handle.net/10547/622026-
dc.description.abstractEfficiency of transportation of people and goods is playing a vital role in economic growth. A key component for enabling effective planning of transportation networks is the deployment and operation of autonomous monitoring and traffic analysis tools. For that reason, such systems have been developed to register and classify road traffic usage. In this paper, we propose a novel system for road traffic monitoring and classification based on highly energy efficient wireless magnetic sensor networks. We develop novel algorithms for vehicle speed and length estimation and vehicle classification that use multiple magnetic sensors. We also demonstrate that, using such a low-cost system with simplified installation and maintenance compared to current solutions, it is possible to achieve highly accurate estimation and a high rate of positive vehicle classification.en
dc.language.isoenen
dc.publisherDe Gruyter Openen
dc.relation.urlhttps://www.degruyter.com/view/j/ttj.2016.17.issue-4/ttj-2016-0024/ttj-2016-0024.xmlen
dc.rightsGreen - can archive pre-print and post-print or publisher's version/PDF-
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectwirelessen
dc.subjectmagnetic sensorsen
dc.subjecttraffic monitoringen
dc.subjectspeed and length estimationen
dc.subjectvehicle classificationen
dc.subjectH230 Transport Engineeringen
dc.titleWireless magnetic sensor network for road traffic monitoring and vehicle classificationen
dc.typeArticleen
dc.identifier.eissn1407-6179-
dc.contributor.departmentUniversity of Bedfordshireen
dc.contributor.departmentEuropean Commission, Joint Research Centreen
dc.contributor.departmentUniversity of Oxforden
dc.identifier.journalTransport and Telecommunication Journalen
dc.date.updated2017-02-23T09:53:16Z-
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