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Vision Systems for Analysis of Congested Traffic

 Vision Systems for Analysis of Congested Traffic
Author(s): , ,
Presented at IABSE Conference: Assessment, Upgrading and Refurbishment of Infrastructures, Rotterdam, The Netherlands, 6-8 May 2013, published in , pp. 432-433
DOI: 10.2749/222137813806501966
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For long-span bridges, congested traffic forms the governing traffic load condition. This paper reviews the current state of the art and the deficiencies in the data upon which the modelling of con...
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Bibliographic Details

Author(s):


Medium: conference paper
Language(s): English
Conference: IABSE Conference: Assessment, Upgrading and Refurbishment of Infrastructures, Rotterdam, The Netherlands, 6-8 May 2013
Published in:
Page(s): 432-433 Total no. of pages: 8
Page(s): 432-433
Total no. of pages: 8
Year: 2013
DOI: 10.2749/222137813806501966
Abstract:

For long-span bridges, congested traffic forms the governing traffic load condition. This paper reviews the current state of the art and the deficiencies in the data upon which the modelling of congestion is typically based. It is proposed that a vision system be adopted to collect statistical information for the parameters required to properly calibrate congestion models. Conventional methods for the detection of vehicle features in images are described, applied to sample images, and criticised. It is concluded that vision-based methods are a viable tool for gathering inter-vehicle gap data, but that existing methods of wheel detection are not sufficient. Therefore the development of a new technique for wheel detection is recommended and some suitable attributes identified.

Keywords:
long-span bridges congestion microsimulation intelligent driver model Hough transform template matching