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This Author published in this journals
All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Jurnal Teknik Informatika (JUTIF)
Fachri, Moch
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Religion Arts Humanities Computer Science & IT Economics, Econometrics & Finance Engineering Social Sciences

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Vehicle Counter in Traffic Using Pixel Area Method with Multi-Region of Interest Fachri, Moch; Hikmah, Nur; Chusna, Nuke Lu'lu ul
Budapest International Research and Critics Institute (BIRCI-Journal): Humanities and Social Sciences Vol 4, No 4 (2021): Budapest International Research and Critics Institute November
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v4i4.3264

Abstract

Traffic density data plays an important role in decision making by the Intelligent Transportation System (ITS). This system uses this data in the process of adaptive traffic management. The inaccuracy of the data provided into the ITS system can result in errors in decision making. This study utilizes digital image engineering technology in the detection of four-wheeled vehicles in traffic traffic for the purpose of acquiring traffic density data. In this study, we propose a multi-ROI (pixel area methodRegion of Interest). This multi-ROI proposal is to be put forward to improve reading accuracy compared to just one ROI. With the use of this multi-ROI, the information obtained from the overall ROI can strengthen the accuracy of the data of vehicles passing in a lane. Our experimental results show that the use of multi-ROI with a certain amount of ROI can produce an accuracy rate of up to 88.66% compared to single-ROI which has an accuracy rate of 84.65%.
Co-Authors Chusna, Nuke L Damastuti, Fardani Annisa Dian Maharani, Dian Fresy Nugroho Hammad, Jehad A.H. I Gusti Putu Asto Buditjahjanto Lestari, Tri Mukti Mochamad Hariadi Nugrahardi Ramadhani Nur Hikmah Nurrahma, Alfina Pebrianti, Dwi Prakasa, Aji Bagas Prasetyo, Didit Supeno Mardi Susiki Nugroho, Supeno Mardi