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https://hdl.handle.net/10356/13088Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Seah, Haw Kuan. | en_US |
| dc.date.accessioned | 2008-08-05T04:33:29Z | en_US |
| dc.date.accessioned | 2008-10-20T07:04:13Z | - |
| dc.date.available | 2008-08-05T04:33:29Z | en_US |
| dc.date.available | 2008-10-20T07:04:13Z | - |
| dc.date.copyright | 1999 | en_US |
| dc.date.issued | 1999 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10356/13088 | - |
| dc.description.abstract | 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. | en_US |
| dc.format.extent | 109 p. | en_US |
| dc.language.iso | en | en_US |
| dc.subject | DRNTU::Engineering::Civil engineering::Transportation | - |
| dc.title | Evaluation of a video image processing system to measure tunnel traffic flow | en_US |
| dc.type | Thesis | en_US |
| dc.contributor.supervisor | Tan, Yan Weng | en_US |
| dc.contributor.school | School of Civil and Structural Engineering | en_US |
| dc.description.degree | Master of Science (Transportation Engineering) | en_US |
| dc.contributor.supervisor2 | Wong, Yiik Diew | en_US |
| item.fulltext | With Fulltext | - |
| item.grantfulltext | restricted | - |
| Appears in Collections: | CEE Theses | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| SeahHawKuan1999.pdf Restricted Access | Main report | 10.98 MB | Adobe PDF | View/Open |
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