Automatic Vehicle Counting Using Raspberry pi and Background Subtractions Method in The Sidoarjo Toll Road

Traffic density can be controlled by acquiring and managing the volume data of the vehicle on the highway. Currently, the vehicle density calculating still use mechanical equipment or assign some people to calculate the vehicle, which passes the highway. However, the equipment is costly and requires many operators for manual counting. Therefore It is needed equipment that can calculate the traffic density precisely and adequately but also not expensive. This research made a simple system by using a raspberry pi, OpenCV, and Background Subtraction Method. This experiment also used real conditions in the Sidoarjo Toll Road. The experiment found that the accuracy of counting highest in the morning with an accuracy of 92.3%. Therefore the lowest accuracy result found in the afternoon counting process with accuracy 77.3%.