Evaluation of a video image processing system to measure tunnel traffic flow

Analysis of video images of traffic scenes can yield information on how the traffic is distributed along and across the area of road in view. Such information can be useful in detecting when the traffic flow starts to break down as a result of an incident or congestion.

Saved in:
Bibliographic Details
Main Author: Seah, Haw Kuan.
Other Authors: Tan, Yan Weng
Format: Theses and Dissertations
Language:English
Published: 2008
Subjects:
Online Access:http://hdl.handle.net/10356/13088
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-13088
record_format dspace
spelling sg-ntu-dr.10356-130882023-03-03T19:12:46Z Evaluation of a video image processing system to measure tunnel traffic flow Seah, Haw Kuan. Tan, Yan Weng School of Civil and Structural Engineering Wong, Yiik Diew DRNTU::Engineering::Civil engineering::Transportation Analysis of video images of traffic scenes can yield information on how the traffic is distributed along and across the area of road in view. Such information can be useful in detecting when the traffic flow starts to break down as a result of an incident or congestion. Master of Science (Transportation Engineering) 2008-08-05T04:33:29Z 2008-10-20T07:04:13Z 2008-08-05T04:33:29Z 2008-10-20T07:04:13Z 1999 1999 Thesis http://hdl.handle.net/10356/13088 en 109 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Civil engineering::Transportation
spellingShingle DRNTU::Engineering::Civil engineering::Transportation
Seah, Haw Kuan.
Evaluation of a video image processing system to measure tunnel traffic flow
description Analysis of video images of traffic scenes can yield information on how the traffic is distributed along and across the area of road in view. Such information can be useful in detecting when the traffic flow starts to break down as a result of an incident or congestion.
author2 Tan, Yan Weng
author_facet Tan, Yan Weng
Seah, Haw Kuan.
format Theses and Dissertations
author Seah, Haw Kuan.
author_sort Seah, Haw Kuan.
title Evaluation of a video image processing system to measure tunnel traffic flow
title_short Evaluation of a video image processing system to measure tunnel traffic flow
title_full Evaluation of a video image processing system to measure tunnel traffic flow
title_fullStr Evaluation of a video image processing system to measure tunnel traffic flow
title_full_unstemmed Evaluation of a video image processing system to measure tunnel traffic flow
title_sort evaluation of a video image processing system to measure tunnel traffic flow
publishDate 2008
url http://hdl.handle.net/10356/13088
_version_ 1759854076266283008