Please use this identifier to cite or link to this item:
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/7161
Title: | Video-Based Intelligent Traffic Control System |
Authors: | Zahari, Taha Said Amir, Azan Taufiq, Abdul Gani Nazaruddin |
Keywords: | Urban transportation system Urban transportation Transportation -- Planning Transportation -- Automation Urban transportation -- Research Electronics in transportation Intelligent transportation systems (ITS) |
Issue Date: | 14-May-2005 |
Publisher: | Kolej Universiti Kejuruteraan Utara Malaysia |
Citation: | p.123-128 |
Series/Report no.: | Proceedings of the 1st International Workshop on Artificial Life and Robotics |
Abstract: | This paper presents our experience in developing a video-based and intelligent urban transportation system. The paper focuses on two aspects which are a video-based approach for detecting traffic speed and volume and a fuzzy-logic-based expert system for controlling traffic signal at an intersection. Both are developed using MATLAB Toolboxes for image acquisition, image processing and fuzzy logic. The results show that fuzzy logic is a viable approach for an intelligent traffic control system. |
Description: | Organized by Kolej Universiti Kejuruteraan Utara Malaysia (KUKUM), 14th - 15th May 2005 at Putra Palace Hotel, Kangar, Perlis. |
URI: | http://dspace.unimap.edu.my/123456789/7161 |
Appears in Collections: | Conference Papers |
Files in This Item:
File | Description | Size | Format | |
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Video-Based Intelligent Traffic Control System.pdf | Access is limited to UniMAP community. | 226.83 kB | Adobe PDF | View/Open |
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