TR
EN
Artificial Intelligence-Assisted Driver Alert System
Öz
Artificial intelligence-supported systems can play a key role in preventing accidents by minimizing human errors in critical areas such as traffic safety. This study aims to develop an artificial intelligence-supported driver monitoring and alert system to prevent distraction while driving and reduce traffic accidents. The developed system has a structure that works on the Nvidia Jetson Nano platform and uses object detection technology with the YOLOv4-tiny model. Through visual and aural alerts, the system helps the driver refocus his attention on the road by identifying distracting behaviors like using mobile devices. The accuracy rate obtained in the tests performed is at an acceptable level. The developed system can appeal to both fleet managers and individual drivers due to its low cost. Road safety, as well as the safety of drivers and passengers, can be improved by lowering the likelihood of accidents.
Anahtar Kelimeler
Destekleyen Kurum
None
Etik Beyan
Çalışma insan ya da hayvanlarla ilgili bir deneysel çalışma içermemektedir.
Kaynakça
- [1] Allianz SE. (2012). Risk Pulse: Ablenkung am Steuer – Unfallursache Nummer 1 [Risk Pulse: Distraction at the wheel – The number one cause of accidents]. [Online]. Available: https://www.allianz.com/content/dam/onemarketing/azcom/Allianz_com/migration/media/press/document/other/risk-pulse-okt-12_de.pdf
- [2] Allianz Zentrum für Technik. (2023). Ablenkung und moderne Technik. Allianz Deutschland AG. [Online]. Available: https://www.azt-automotive.com/_Resources/Persistent/5a65121e65b7ccd3ef08fb03139ad979eee5862b/Allianz%20Studie%20Ablenkung%20und%20moderne%20Technik%20(2023).pdf
- [3] S. Büyükbaş, E. Tekin and B. Tekeş, B. “Akıllı telefon bağımlılığı ile sürücü davranışları arasındaki ilişki,” Trafik ve Ulaşım Araştırmaları Dergisi, vol. 2, no. 1, pp. 16-29, 2019.
- [4] Turkish Statistical Institute, (2023). Road Traffic Accident Statistics, 2023. [Online]. Available: https://data.tuik.gov.tr/Bulten/Index?p=Karayolu-Trafik-Kaza-Istatistikleri-2023-53479
- [5] A. Khandakar, M. E. H. Chowdhury, R. Ahmed, A. Dhib, M. Mohammed, N. A. M. A. Al-Emadi and D. Michelson, “Portable System for Monitoring and Controlling Driver Behavior and the Use of a Mobile Phone While Driving,” Sensors, vol. 19, no. 7, 1563, 2019.
- [6] J. He, W. Choi, J. S. McCarley, B. S. Chaparro and C. Wang, “Texting while driving using Google Glass™: Promising but not distraction-free,” Accident Analysis & Prevention, vol. 81, pp. 218-229, 2015.
- [7] M. Fazeen, B. Gozick, R. Dantu, M. Bhukhiya and M. C. González, "Safe Driving Using Mobile Phones," IEEE Transactions on Intelligent Transportation Systems, vol. 13, no. 3, pp. 1462-1468, Sept. 2012, doi: 10.1109/TITS.2012.2187640.
- [8] S. H. Ali and R. Hassan, “The effectiveness of RF jamming devices in preventing distracted driving,” Journal of Transportation Safety & Security, vol. 10, no. 2, pp. 123-130, 2018.
Ayrıntılar
Birincil Dil
İngilizce
Konular
Görüntü İşleme
Bölüm
Araştırma Makalesi
Erken Görünüm Tarihi
12 Temmuz 2025
Yayımlanma Tarihi
31 Temmuz 2025
Gönderilme Tarihi
23 Mart 2025
Kabul Tarihi
10 Mayıs 2025
Yayımlandığı Sayı
Yıl 2025 Cilt: 9 Sayı: 1
APA
Berk, G., & Tuna, G. (2025). Artificial Intelligence-Assisted Driver Alert System. International Journal of Multidisciplinary Studies and Innovative Technologies, 9(1), 23-29. https://izlik.org/JA34WP78BZ
AMA
1.Berk G, Tuna G. Artificial Intelligence-Assisted Driver Alert System. IJMSIT. 2025;9(1):23-29. https://izlik.org/JA34WP78BZ
Chicago
Berk, Galip, ve Gürkan Tuna. 2025. “Artificial Intelligence-Assisted Driver Alert System”. International Journal of Multidisciplinary Studies and Innovative Technologies 9 (1): 23-29. https://izlik.org/JA34WP78BZ.
EndNote
Berk G, Tuna G (01 Ağustos 2025) Artificial Intelligence-Assisted Driver Alert System. International Journal of Multidisciplinary Studies and Innovative Technologies 9 1 23–29.
IEEE
[1]G. Berk ve G. Tuna, “Artificial Intelligence-Assisted Driver Alert System”, IJMSIT, c. 9, sy 1, ss. 23–29, Ağu. 2025, [çevrimiçi]. Erişim adresi: https://izlik.org/JA34WP78BZ
ISNAD
Berk, Galip - Tuna, Gürkan. “Artificial Intelligence-Assisted Driver Alert System”. International Journal of Multidisciplinary Studies and Innovative Technologies 9/1 (01 Ağustos 2025): 23-29. https://izlik.org/JA34WP78BZ.
JAMA
1.Berk G, Tuna G. Artificial Intelligence-Assisted Driver Alert System. IJMSIT. 2025;9:23–29.
MLA
Berk, Galip, ve Gürkan Tuna. “Artificial Intelligence-Assisted Driver Alert System”. International Journal of Multidisciplinary Studies and Innovative Technologies, c. 9, sy 1, Ağustos 2025, ss. 23-29, https://izlik.org/JA34WP78BZ.
Vancouver
1.Galip Berk, Gürkan Tuna. Artificial Intelligence-Assisted Driver Alert System. IJMSIT [Internet]. 01 Ağustos 2025;9(1):23-9. Erişim adresi: https://izlik.org/JA34WP78BZ