Real time traffic light control using image processing
| dc.contributor.author | Ye. Amirgaliyev | |
| dc.contributor.author | D. Zhanibekov | |
| dc.date.accessioned | 2026-02-06T10:55:18Z | |
| dc.date.available | 2026-02-06T10:55:18Z | |
| dc.date.issued | 2013 | |
| dc.description.abstract | As the problem of urban traffic congestion spreads, there is a pressing need for the introduction of advanced technology and equipment to improve the state-of-the-art of traffic control. Traffic problems nowadays are increasing because of the growing number of vehicles and the limited. resources provided by current infrastructures. The simplest way to control a traffic light uses a timer for each phase. Another way is to use electronic sensors in order to detect vehicles, and produce signal that cycles. We propose a system for controlling the traffic light by image processing. The system will detect vehicles through images instead of using electronic sensors embedded in the pavement. A camera will be installed alongside the traffic light. It will capture image sequences. The image sequence will then be analysed using digital image processing for vehicle detection, and according to traffic conditions on the road traffic light can be controlled. | |
| dc.identifier.citation | Ye. Amirgaliyev, D. Zhanibekov / Real time traffic light control using image processing / Suleyman Demirel University / Сду Хабаршысы 2013 (1) | |
| dc.identifier.uri | https://repository.sdu.edu.kz/handle/123456789/2471 | |
| dc.language.iso | en | |
| dc.publisher | Suleyman Demirel University | |
| dc.rights | Attribution-NonCommercial-ShareAlike 4.0 International | en |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | |
| dc.subject | Intelligent Transportation System (ITS) | |
| dc.subject | Traffic light | |
| dc.subject | Image Processing | |
| dc.subject | edge detection. | |
| dc.title | Real time traffic light control using image processing | |
| dc.type | Article |
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