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

Alexendra Micu, Ross McKinstry, Ewan Angus, Eugene J O Brien, Abdollah Malekjafarian, Myra Lydon

Research output: Contribution to conferencePaper

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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.
Original languageEnglish
Publication statusPublished - 30 Aug 2018
EventCivil Engineering Research in Ireland 2018 - University College Dublin, Dublin, Ireland
Duration: 29 Aug 201830 Aug 2018

Conference

ConferenceCivil Engineering Research in Ireland 2018
Abbreviated titleCERI2018
CountryIreland
CityDublin
Period29/08/201830/08/2018

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Cameras
Image analysis
Image processing

Cite this

Micu, A., McKinstry, R., Angus, E., Brien, E. J. O., Malekjafarian, A., & Lydon, M. (2018). Estimation of traffic load effects on Forth Road Bridge using camera measurements. Paper presented at Civil Engineering Research in Ireland 2018, Dublin, Ireland.
Micu, Alexendra ; McKinstry, Ross ; Angus, Ewan ; Brien, Eugene J O ; Malekjafarian, Abdollah ; Lydon, Myra. / Estimation of traffic load effects on Forth Road Bridge using camera measurements. Paper presented at Civil Engineering Research in Ireland 2018, Dublin, Ireland.
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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.",
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Micu, A, McKinstry, R, Angus, E, Brien, EJO, Malekjafarian, A & Lydon, M 2018, 'Estimation of traffic load effects on Forth Road Bridge using camera measurements', Paper presented at Civil Engineering Research in Ireland 2018, Dublin, Ireland, 29/08/2018 - 30/08/2018.

Estimation of traffic load effects on Forth Road Bridge using camera measurements. / Micu, Alexendra; McKinstry, Ross; Angus, Ewan; Brien, Eugene J O; Malekjafarian, Abdollah; Lydon, Myra.

2018. Paper presented at Civil Engineering Research in Ireland 2018, Dublin, Ireland.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Estimation of traffic load effects on Forth Road Bridge using camera measurements

AU - Micu, Alexendra

AU - McKinstry, Ross

AU - Angus, Ewan

AU - Brien, Eugene J O

AU - Malekjafarian, Abdollah

AU - Lydon, Myra

PY - 2018/8/30

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N2 - 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.

AB - 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.

M3 - Paper

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Micu A, McKinstry R, Angus E, Brien EJO, Malekjafarian A, Lydon M. Estimation of traffic load effects on Forth Road Bridge using camera measurements. 2018. Paper presented at Civil Engineering Research in Ireland 2018, Dublin, Ireland.