Traffic Counting using YOLO Version-5 (A case study of Jakarta-Cikampek Toll Road)

Abstract

The Jakarta-Cikampek toll road is the main access to the Tanjung Priok port, which is connected directly via the Cilincing-Tanjung Priuk Port toll road as a development of the North Jakarta reclamation coastal area. YOLO (You Only Look Once) is a common object detection model that offers faster and more accurate results.. The purpose of this article is to use advancements in information technology to automate the process of manually recording traffic counts on the highway. The method utilized in this study was to record a video of traffic movements with a smartphone camera and save it in MP4 format. Calculations are performed at the office after receiving recorded video and utilizing a program written by the author that makes use of Python, OpenCV, Pytorch, and YOLO version 5 software. When passing through a counter box, the traffic volume is counted and saved in Excel format (.xls). The video records footage near the Tambun area of the Jakarta-Cikampek toll road. According to the measurement accuracy of 95% for cars, 96% for buses, and 89% for trucks respectively, it can be stated that using YOLO version 5 for detecting vehicle volume and categorization is fairly satisfactory.