1 October 2010 Image-processing algorithms for detecting and counting vehicles waiting at a traffic light
Author Affiliations +
Abstract
suboptimal traffic management, with unnecessary delays, higher fuel consumption, and higher emissions. Traffic management can be improved by installing inductive loops; however, installation involves temporary road closures and high maintenance costs, especially if there is normally a lot of heavy traffic on the road. We present a vehicle detection and counting system based on digital image-processing techniques. These images can be taken by digital cameras installed at the top of existing traffic lights. By using the proposed approach, it is possible to detect the number of vehicles waiting on each side of the intersection, hence, providing the necessary information for optimal traffic management. Results achieved after testing this methodology on three real intersections are promising, attaining high accuracy during the day (98.8%) and the night (91.3%) while counting several vehicles at the same time. Hence, the system is equivalent to installing multiple inductive loops in all the streets of the intersection, but with lower installation and maintenance costs. After integrating the proposed algorithms into a traffic-management system, it was possible to reduce fuel and CO2 emissions by half compared to the standard fixed-time scheduler.
© (2010) Society of Photo-Optical Instrumentation Engineers (SPIE)
Ernesto de la Rocha, Ernesto de la Rocha, Rafael Palacios, Rafael Palacios, } "Image-processing algorithms for detecting and counting vehicles waiting at a traffic light," Journal of Electronic Imaging 19(4), 043025 (1 October 2010). https://doi.org/10.1117/1.3528465 . Submission:
JOURNAL ARTICLE
8 PAGES


SHARE
RELATED CONTENT

Road surveillance using a team of small UAVs
Proceedings of SPIE (April 30 2009)
Target activated frame capture
Proceedings of SPIE (April 15 2008)
Fault diagnosis of vision module on intelligent agent
Proceedings of SPIE (February 23 2005)
Approach for counting vehicles in congested traffic flow
Proceedings of SPIE (February 24 2005)

Back to Top