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

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.

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Publication Details

Journal
American journal of electrical and electronic engineering
Published
2025-04-13
DOI
https://doi.org/10.12691/ajeee-13-1-1
Primary Topic
Socioeconomic Development in MENA
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Mohammed Gronfula
American journal of electrical and electronic engineering
Socioeconomic Development in MENA
article

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

Mohammed Gronfula
article en

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.

American journal of electrical and electronic engineeringVol. 13(1)
King Abdulaziz Hospital (SA)
Industry, innovation and infrastructure
Openalex Percentile: Top 90%
Socioeconomic Development in MENA
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