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All Journal Jurnal Pengabdian dan Peningkatan Mutu Masyarakat (JANAYU) Journal Industrial Manufacturing International Journal of Social Science, Educational, Economics, Agriculture Research, and Technology (IJSET) Pandawa : Pusat Publikasi Hasil Pengabdian Masyarakat ADVANCE INFORMATICS RESEARCH JOURNAL
Irman maulana
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Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences Other

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Journal : ADVANCE INFORMATICS RESEARCH JOURNAL

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ACCIDENT POTENTIAL ESTIMATION SYSTEM BY CALCULATING VEHICLESPEED USING DEEP LEARNING YOLO METHOD (You Only Look Once) Irman Maulana; sanyata, sanyata purwidayanta
ADVANCE INFORMATICS RESEARCH JOURNAL Vol. 1 No. 1 (2025): Advanced Informatics Research
Publisher : ADVANCE INFORMATICS RESEARCH JOURNAL

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Abstract

Traffic accidents are incidents that often lead to serious consequences, such as fatalities or property damage. A key factor influencing these accidents is vehicle speed. Despite some reductions, the death toll from traffic accidents remains high. Vehicle speed, in particular, has been identified as a primary factor exacerbating the risk and severity of accidents. Therefore, controlling vehicle speed is crucial for reducing accident rates.A vehicle speed detection system utilizing deep learning technology, such as the You Only Look Once (YOLO) model, provides an effective solution for analyzing and monitoring vehicle speed in real-time. This technology enables rapid and accurate vehicle detection, along with efficient speed data processing. By leveraging cameras to record video, the system offers essential information for law enforcement and accident prevention. The real-world implementation of this system will enhance traffic safety by delivering relevant and accurate information to authorities. The use of YOLO technology in this system allows for more effective vehicle speed monitoring and prompt decision-making to prevent accidents. Consequently, this system contributes to reducing accident risks and improving road safety.
Co-Authors Ainul Yaqin Azhara, Lulu Fardiansyah, Ismail Ismail Fardiansyah Khusyaini, Ahmad Muhammad Ali Rohmad Nurdeni, Nurdeni Ririn Regiana Dwi Satya, Ririn Regiana Dwi sanyata, sanyata purwidayanta Sinambela, Sahat Tri Widodo Tri Widodo Waluyo, Bambang Suhardi