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- Although the number of lanes of roads in residential
cities is constant, the number of vehicle in traffic is increasing
every year. This causes traffic congestion at certain times, such as
before and after work hours. Thus, instead of traditional methods,
intelligent systems have become a necessity to control traffic lights.
For this problem, there are traffic signaling applications
developed with using image processing and artificial intelligence
techniques in literature. In this study, an application was
developed to provide more detailed data for traffic signaling
applications. Used Faster R-CNN model was trained and tested in
Karabük and trained model detected 76 of 79 vehicles in 23 test
frames and achieved 96% success.
International Conference on Advanced Technologies, Computer Engineering and Science
ICATCES
murat GENÇER
Nesrin Aydın Atasoy