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Traffic density conditions are one of the factors that affect road capacity. The use of technology can be made to simplify the traffic density monitoring process. Several technologies have been created and developed, but still have limited features. In this study, a prototype of the traffic density information system was designed based on the percentage of road capacity traversed by vehicles. This study uses image processing with the background subtraction method from the OpenCV library made in Pycharm software to process video recordings. This method is used to produce the percentage of road capacity based on the ratio of the vehicle area to the road area. From the results of the tests carried out, it can be seen that the high level of traffic density and the number of vehicles has a large effect on the performance of the system in detecting passing vehicles.

Implementasi algoritma pendeteksi tingkat kepadatan lalu lintas menggunakan metode background subtraction