This study aimed to identify the current status of adopting artificial intelligence to enhance traffic safety in Arab countries. It aims also to identify the main areas in which artificial intelligence was implemented, the present uses of artificial intelligence in traffic safety and the challenges that adversely affect the adoption of artificial intelligence in the road traffic field. The study also aimed to determine the potential impacts of artificial intelligence in reducing road traffic accidents and the global practices in the adoption of artificial intelligence in road traffic issues. To achieve these goals, the documentary descriptive approach and the descriptive survey methods were used. A questionnaire survey was used as a tool. It was designed, and responses were received from only 8 Arabian countries: Saudi Arabia, Yemen, United Arab Emirates, Kuwait, Jordan, Palestine, Tunisia and Mauritania. The results indicated the limited use of Arab countries for artificial intelligence systems in road traffic managements. The emergency vehicle management systems were used in Arab countries with a mean (1.89± 0.05), and highway management systems was used with a mean (1.78± 0.83), while truck management systems are not available. Traffic priority systems for public transport vehicles and traffic accident prediction systems, indicating that the current situation of artificial intelligence adoption in road traffic management is still primitive.
Artificial intelligence, therefore, can address road traffic problems in the areas of traffic management, traffic safety, public transport, and urban mobility. To accomplish this, the concerned authorities in Arab countries must set their priorities for the application of the needed artificial intelligence systems, by dealing with frameworks regulatory obstacles that set barriers against the adoption of emerging technologies in the areas of road traffic, providing secure databases for digital data that relate to artificial intelligence systems, providing opportunities for the private sector to participate in the development of the highly needed infrastructure for the applications of artificial intelligence systems through privatization, and they must keep pace with the rapid development in modern technologies.
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