New dual-variable algorithms for detecting lane-blocking incidents on expressways
This study focuses on the development of a new efficient automated incident detection algorithm for the CTE.
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Format: | Theses and Dissertations |
Language: | English |
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2008
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Online Access: | http://hdl.handle.net/10356/11930 |
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Institution: | Nanyang Technological University |
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sg-ntu-dr.10356-119302023-03-03T19:21:32Z New dual-variable algorithms for detecting lane-blocking incidents on expressways Mak, Chin Long. Fan, Henry Shing Leung School of Civil and Environmental Engineering DRNTU::Engineering::Civil engineering::Transportation This study focuses on the development of a new efficient automated incident detection algorithm for the CTE. Doctor of Philosophy (CEE) 2008-09-25T06:32:42Z 2008-09-25T06:32:42Z 2002 2002 Thesis http://hdl.handle.net/10356/11930 en Nanyang Technological University 269 p. application/pdf |
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DRNTU::Engineering::Civil engineering::Transportation Mak, Chin Long. New dual-variable algorithms for detecting lane-blocking incidents on expressways |
description |
This study focuses on the development of a new efficient automated incident detection algorithm for the CTE. |
author2 |
Fan, Henry Shing Leung |
author_facet |
Fan, Henry Shing Leung Mak, Chin Long. |
format |
Theses and Dissertations |
author |
Mak, Chin Long. |
author_sort |
Mak, Chin Long. |
title |
New dual-variable algorithms for detecting lane-blocking incidents on expressways |
title_short |
New dual-variable algorithms for detecting lane-blocking incidents on expressways |
title_full |
New dual-variable algorithms for detecting lane-blocking incidents on expressways |
title_fullStr |
New dual-variable algorithms for detecting lane-blocking incidents on expressways |
title_full_unstemmed |
New dual-variable algorithms for detecting lane-blocking incidents on expressways |
title_sort |
new dual-variable algorithms for detecting lane-blocking incidents on expressways |
publishDate |
2008 |
url |
http://hdl.handle.net/10356/11930 |
_version_ |
1759855624409055232 |