Revolutionizing Transportation in Dammam: AI Innovations, Challenges, and Future Prospects in Saudi Arabia’s Aerospace Sector

Mohammed Gronfula^1,

¹College of engineering, Alasala colleges, King Fahd Bin Abdulaziz Rd., Dammam 31483, Saudi Arabia

Cite this paper:
Mohammed Gronfula. Revolutionizing Transportation in Dammam: AI Innovations, Challenges, and Future Prospects in Saudi Arabia’s Aerospace Sector. American Journal of Electrical and Electronic Engineering. 2025; 13(1):1-9. doi: 10.12691/ajeee-13-1-1

Abstract

Artificial intelligence (AI) is revolutionizing transportation by enabling real-time decision-making, predictive maintenance, traffic optimization and autonomous mobility. This study examines the impact of AI-driven intelligent transportation systems in Dammam, Saudi Arabia, emphasizing their role in improving mobility, sustainability and traffic management. The study highlights the contributions of AI in reducing congestion, optimizing logistics, and vehicle-infrastructure communication, which align with the goals of Saudi Arabia’s Vision 2030. Despite progress, challenges such as cybersecurity risks, regulatory frameworks and public acceptance remain critical barriers to widespread adoption. The study also examines the role of AI in environmental sustainability by reducing emissions and optimizing energy efficiency. Prospects include the integration of AI with new technologies such as blockchain and quantum computing to improve security and scalability. By using investment promotion, policy adaptation and stakeholder collaboration, Saudi Arabia can accelerate the transition to smart and sustainable urban mobility.

Keywords:
Artificial Intelligence Intelligent Transportation Systems Smart Mobility Sustainable Urban Development

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