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

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