Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/13088
Title: | Evaluation of a video image processing system to measure tunnel traffic flow | Authors: | Seah, Haw Kuan. | Keywords: | DRNTU::Engineering::Civil engineering::Transportation | Issue Date: | 1999 | 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. | URI: | http://hdl.handle.net/10356/13088 | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
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 |
Page view(s)
275
Updated on Feb 26, 2021
Download(s)
7
Updated on Feb 26, 2021
Google ScholarTM
Check
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.