Araştırma Makalesi

Artificial Intelligence-Assisted Driver Alert System

Cilt: 9 Sayı: 1 31 Temmuz 2025
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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. [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. [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. [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. [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. [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. [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. [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. [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

Kaynak Göster

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