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  5. Estimation of traffic load effects on Forth Road Bridge using camera measurements
 
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Estimation of traffic load effects on Forth Road Bridge using camera measurements

Author(s)
Micu, E.A.  
MacKinstray, R.  
Angus, E.  
O'Brien, Eugene J.  
Malekjafarian, Abdollah  
Lydon, Myra  
Uri
http://hdl.handle.net/10197/10535
Date Issued
2018-08-30
Date Available
2019-05-20T11:49:39Z
Abstract
This paper explores the possibility of using a camera and image analysis to extract congested traffic data. A video system was installed on the Forth Road Bridge. The system captured traffic video data at a rate of 1 frame per second for approximately five months. Simple image processing methods, e.g. adaptive thresholding and morphological reconstruction, are used to automatically analyse the images extracted from the videos. The body shapes of the vehicles are accurately extracted. Identified vehicles are framed within rectangles and the rectangle’s dimensions are used to approximate the length of the vehicles. The study confirms that the image data can be used efficiently to measure the lengths of the vehicles. The vehicle lengths can be ultimately used for the estimation of site specific characteristic maximum traffic load effects.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
CERAI
Copyright (Published Version)
2018 the Authors
Subjects

Bridge

Camera

Image

Long-span

Vehicle length

WIM

Web versions
http://www.cerai.net/
Language
English
Status of Item
Peer reviewed
Journal
Pakrashi, V., Keenahan, J. (eds.). Civil Engineering Research in Ireland 2018: Conference Proceedings
Conference Details
Civil Engineering Research in Ireland 2018 Conference (CERI 2018), Dublin, Ireland, 29-30 August 2018
ISBN
978-0-9573957-3-2
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
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CERI_Micu.pdf

Size

648.07 KB

Format

Adobe PDF

Checksum (MD5)

4cde0d36564f8cfa6eea4ad6adb10e3d

Owning collection
Civil Engineering Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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