Mechanisms for Implementing Artificial Intelligence to Achieve Road Safety in Algeria

Mounira Boulmelh ()
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Mounira Boulmelh: UMSBJ - Université Mohammed Seddik Benyahia [Jijel] | University of Jijel

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Abstract: This study aims to highlight the importance of artificial intelligence systems in achieving traffic safety in Algeria by analyzing the situation of traffic accidents over the period from 2010 to 2023. It also aims to showcase the efforts and measures taken to implement artificial intelligence systems to reduce these accidents and propose suitable solutions to achieve economic performance. The study found that, in the field of traffic safety in Algeria, many regulatory measures and efforts have been taken; however, these laws have not succeeded in reducing traffic accidents. Regarding the application of artificial intelligence systems, their use is limited to security services only, such as radars and cameras.

Keywords: Artificial Intelligence Traffic Safety health economics Economic Performance JEL Classification Codes: H51 I11 J28 K32 R41; Artificial Intelligence; Traffic Safety; health economics; Economic Performance JEL Classification Codes: H51; I11; J28; K32; R41 (search for similar items in EconPapers)
Date: 2024-06-30
New Economics Papers: this item is included in nep-afr, nep-ara, nep-hea and nep-tre
Note: View the original document on HAL open archive server: https://hal.science/hal-04678760
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Published in International Journal of Economic Performance - المجلة الدولية للأداء الاقتصادي, In press, 07 (01)

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04678760

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