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All Journal Jurnal Ilmu Komputer dan Informasi Jurnal F. Teknik : RESULTAN Paradigma : Journal of Science, Religion and Culture Studies TELKOMNIKA (Telecommunication Computing Electronics and Control) PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic JREC (Journal of Electrical and Electronics) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Artificial Intelligence Research Cakrawala : Jurnal Humaniora Bina Sarana Informatika Bina Insani ICT Journal Informatics for Educators and Professional : Journal of Informatics Information Management For Educators And Professionals (IMBI) BENTANG : Jurnal Teoritis dan Terapan Bidang Rekayasa Sipil Jurnal Komtika (Komputasi dan Informatika) Jurnal Kajian Ilmiah Jurnal ABDIMAS (Pengabdian kepada Masyarakat) UBJ Jurnal Sains Teknologi dalam Pemberdayaan Masyarakat DEVOSI Journal of Students‘ Research in Computer Science (JSRCS) Journal of Computer Science Contributions (Jucosco) Jurnal Komtika (Komputasi dan Informatika)
Rahmadya Trias Handayanto
Program Studi Teknik Komputer Fakultas Teknik, Universitas Islam 45
Religion Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences Transportation Other

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Journal : International Journal of Artificial Intelligence Research

 1 
VISUAL HISTORICAL DATA-BASED TRAFFIC MOVEMENT AND DENSITY PATTERN EXTRACTION FOR ADAPTIVE PATTERN DETECTION BASE ON VEHICLE TYPE Angellia, Filda; Merlina, Nita; Subekti, Agus; Handayanto, Rahmadya Trias
International Journal of Artificial Intelligence Research Vol 9, No 1.1 (2025)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v9i1.1.1570

Abstract

Traffic congestion in urban areas has become a crucial issue, impacting time efficiency, energy consumption, and quality of life. One of the main causes of difficulties in traffic management is the lack of optimal predictive systems capable of detecting and adaptively responding to vehicle movement patterns. This study proposes a historical digital image-based approach to extract traffic movement patterns and density based on vehicle type and dimensions. The developed model utilizes historical traffic video footage from CCTV systems as a visual data source, which is then processed using the YOLOv5 algorithm to detect the number, size, and type of vehicles. After the detection process, vehicle information is converted into a sequential format that reflects vehicle movement in the temporal dimension. This data is then analyzed using a Long Short-Term Memory (LSTM) model to generate traffic density prediction patterns. This study also compares the performance of LSTM with other algorithms such as Random Forest and XGBoost in terms of prediction accuracy. Model evaluation is conducted using MSE and RMSE metrics to measure accuracy against actual data.The research results show that the integration of dimension-based vehicle detection with a visual historical data-driven prediction approach can improve the accuracy and flexibility of modeling future traffic conditions. This approach significantly contributes to the development of intelligent transportation systems that can adapt to dynamic environmental conditions and traffic patterns
Co-Authors A.A. Ketut Agung Cahyawan W Aeri Sujatmiko Agus Subekti Ahmad Liyas Sani Ahmad Wafiq Amrillah Aji Trisnantoro Andi Hasad Angga Fahreja Anita Setyowati Srie Gunarti Anita Setyowati Srie Gunarti Anita Setyowati Srie Gunarti Anita Setyowati Srie Gunarti Anussara Hirunpongchai, Anussara Atika , Prima Dina Bagus Suryasa Majanasastra Ben Rahman Benrahman Boravin Teng, Boravin Dadan Irwan Dadan Irwan Dadan Irwan Dadan Irwan Dede Rosadi Ekawati, Inna Endang Retnoningsih Faisal Adi Saputra Fata Nidaul Khasanah Fikri, Muhammad Ramadan Filda Angellia Galih Apriansha Pradana Haryono Haryono HARYONO Haryono . Haryono . Haryono Haryono Haryono Haryono Hendharsetiawan, Andy Achmad Heri Setiawan Herlawati Herlawati Idaul Hasanah Intan Juwita Irwan Raharja Jaelani, M Khanittha Saengmanee, Khanittha Maimunah Maimunah Maimunah Maimunah Maimunah Maimunah Maimunah Maimunah, Maimunah Malikus Sumadyo Malikus Sumadyo Malikus Sumadyo Muhammad Aqil Emeraldi Muhammad Arifin Muhammad Ilham Muhammad Irvan Muhammad Ramadan Fikri Muhammad Ramadhan Fikri Nita Merlina, Nita Nitin Kumar Tripathi Nove Anggara Syah Sejati Nutthapong Khangkhun, Nutthapong Pradana , Galih Apriansha Priatna , Wowon Prima Dina Atika RAFIKA SARI Rafika Sari Randika Purwadhana Rejeki , Sri Retno Nugroho Whidhiasih Retno Nugroho Whidhiasih Retno Whidhiasih Reyvan Karani Rika Sylviana Samsiana , Seta Sani, Ahmad Liyas Saputra , Faisal Adi Sella Alaida Syifa1 Sella Alayda Syifa Septia, Dwi Yoga Seta Samsiana Seta Samsiana Seta Samsiana Seta Samsiana Seta Samsiana Setiaji Setiaji Setiawan, Ramdhani Setyo Supratno Setyowati Srie Gunarti, Anita Soedarmin Soenyoto Soedarmin Soenyoto Sohee Minsun Kim Sri Marini Sri Rejeki Sugeng Sugiyatno Sugiyatno Sugiyatno Sugiyatno Sumarlin Syahbaniar Rofiah Taufiqur Rakhman Tyastuti Sri Lestari Yopi Handoyo Yopi Handoyo Yusuf, Ajif Yunizar Pratama