Dubai’s Roads and Transport Authority (RTA) has rolled out its Artificial Intelligence Strategy 2030 during Dubai AI Week 2025, which aims to strengthen the authority’s global leadership in AI-driven mobility by establishing an integrated, interconnected ecosystem that enhances the quality of life in Dubai.
The strategy comprises 81 projects and initiatives across six strategic pillars: People happiness, seamless and innovative mobility, intelligent traffic management, cognitive licensing, future-proof organization and asset excellence.
“The strategy is designed to enhance human capital in the application and scaling of AI technologies, lead a connected AI ecosystem that promotes resilience and innovation and firmly position RTA at the forefront of AI-driven transformation across its services, products and operations,” stated Mattar Al Tayer, director general, chairman of the board of executive directors of the RTA.
Key initiatives and targets
RTA’s AI strategy establishes a robust corporate governance framework for AI while strengthening the authority’s technical capabilities in AI and data to keep pace with rapid advancements in the field. “In today’s digital economy, big data and AI are foundational enablers of digital transformation. They are crucial for enhancing operational efficiency, enabling data-driven decision-making and driving innovation across all sectors,” added Al Tayer.
Al Tayer added that the strategy encompasses the implementation of 81 projects and initiatives between 2025 and 2030, structured around six key pillars. It seeks to yield a range of measurable outcomes, most notably, reducing travel time by 20 to 30 percent through optimized traffic signal operations and intelligent pedestrian mobility solutions.
The RTA’s strategy also targets a 25 to 40 percent increase in productivity by equipping employees with AI-driven tools. Moreover, it aims to reduce costs by 10 to 20 percent through AI-powered platforms supporting asset management, predictive maintenance and driver assessment.
“The strategy further aims to improve customer happiness by 35 percent and enhance partner compliance by 30 to 50 percent. RTA continues to lead in harnessing big data and artificial intelligence. Since the launch of its Big Data Platform in 2017, RTA has maintained its pioneering position in this field, introducing a joint Big Data and AI Roadmap (2021–2025), followed by the launch of a dedicated AI Platform in 2022 to support the efficient and scalable development of AI-driven applications,” added Al Tayer.
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Facilitating AI use cases
Al Tayer added that the Big Data Platform plays a pivotal role in managing and streamlining data exchange across RTA’s corporate systems. Since its inception, the platform has recorded an annual growth rate of 30 percent, with total data capacity now exceeding 670 terabytes—the equivalent of more than 235 billion pages.
The platform is integrated with 49 corporate systems and supports over 280 data points, enabling connectivity across diverse data sources within RTA’s operations. The platform has also facilitated more than 12 AI use cases and significantly enhanced the operational efficiency of our Enterprise Command and Control Center.
Since 2017, RTA has implemented over 40 big data and AI use cases, including predictive maintenance for buses, sentiment analysis of passenger feedback, forecasting parking space occupancy and integrating generative AI into the enterprise chatbot, ‘Mahboub’.
“We are currently studying the implementation of 45 additional use cases, including optimizing water and electricity consumption in the Dubai Metro and enhancing the public bus network using advanced AI technologies,” he stated.
