Intelligent Transport System and Image Processing: Developing Traffic Detection Program Based on Indonesian Highway Capacity Manual 1997 for Rural Road

It is important in this digitalization era to develop the intelligent transport system for the future transportation. This study aims to develop traffic detection program based on image processing and Indonesian Highway Capacity Manual 1997 for rural road. The methodology of this study uses Gaussian Mixture Model (GMM) method that base in image processing. This program will run of video input in the morning with 6 m height and 7 m, as well as video input in the afternoon with 6 m and 7 m height. The calculation results on the program will be compared with manual calculations to get the accuracy and percent error values. The highest accuracy results obtained in this program are 76.48% with an error value of 23.52% for video 6 m in the morning. For the lowest accuracy results found on the 7 m video in the afternoon with an accuracy of 43% with an error value of 57%, this caused by congested traffic during video capture.