Roads & Transport Authority - News Details

Dubai’s Roads and Transport Authority (RTA) organised an exhibition highlighting its most prominent artificial intelligence initiatives, aimed at advancing the implementation of its Artificial Intelligence Strategy 2030. The event sought to engage and motivate employees and strategic partners by showcasing the pivotal role of AI in service delivery, the development and management of integrated, sustainable transport systems, and the adoption of global best practices and standards. The initiative supports RTA’s vision and mission to lead the world in seamless and sustainable mobility.

The week-long exhibition was held at RTA’s headquarters. It featured an interactive platform showcasing 11 artificial intelligence initiatives, presented in innovative and engaging formats. The initiatives were aligned with the six strategic pillars of RTA’s AI Strategy: Seamless and Innovative Mobility, People Happiness, Smart Traffic Management, Smart Licensing, Asset Excellence, and Future Readiness.

Among the initiatives presented by various departments at RTA was the “Bus Drivers Support System: Control and Operation Centre,” an AI-powered platform that analyses voice and data to enhance real-time communication between drivers and the control centre when incidents arise, enabling prompt and precise intervention. Another initiative was the “Dubai Metro Water and Electricity Consumption Forecast Dashboard,” which applies predictive analytics to proactively track resource usage, promoting sustainability, operational efficiency, and cost optimisation.

Initiatives also included the WhatsApp available “Madinati” initiative, an AI-powered service that allows users to report damage to public transport assets through computer vision and generative AI. The system autonomously detects, classifies, and routes reports to ensure a timely and appropriate response. Another initiative, the “Smart Assessment of Cycling Track Infrastructure,” introduced new global indicators to evaluate ride comfort, track condition, and facility efficiency to ensure a safer and more enjoyable cycling experience for the public.

The initiatives also included the 'Smart Road Asset Assessment System using LiDAR Technology,' which employs advanced scanning and digital imaging to evaluate infrastructure conditions. Artificial intelligence analyses the collected data to determine maintenance priorities and update the digital asset database. Also featured was the 'Smart Traffic Management' initiative at Dubai Intelligent Traffic Systems Centre, showcasing an advanced control system regarded as one of RTA’s flagship innovations. It leverages AI, big data analytics, and decision-support technologies to improve traffic flow and overall network efficiency.

The platform also highlighted the 'AI-Powered Bus Network Management' initiative, which analyses network and ridership data to support route planners in optimising existing bus routes and identifying opportunities for new ones. It contributes to greater operational efficiency, improved performance, and cost reduction. Another featured initiative was the 'Instructor Monitoring System,' which uses AI-enabled cameras in driving school vehicles to monitor instructor behaviour, to enhance training quality and promote road safety.

The exhibition also showcased the 'Plate Price Prediction System,' which leverages historical auction data and self-learning algorithms to forecast future auction revenues by identifying and analysing pricing trends. Another initiative, 'Microsoft Copilot-Enabled Operations,' introduced an intelligent AI assistant designed to support users in writing, data analysis, and task automation. Also featured was the 'Public Transport Station Management Using AI' initiative, which offers proactive, real-time solutions by monitoring stations, assessing crowd density and movement patterns, and enhancing passenger flow while reducing wait times.

RTA’s AI Week included a dynamic programme of sessions, panel discussions, knowledge forums, and presentations exploring the global landscape of artificial intelligence, its role in mobility and smart city development, and its transformative power in shaping future solutions. The agenda also underscored the importance of specialised training for all employees on utilising AI to boost productivity. Sessions were led by experts and specialists from RTA and its strategic partners.

As part of AI Exhibition Week, RTA held the ‘AI Hackathon’, a creative three-day competition that brought together RTA employees, where they competed to develop innovative ideas and AI-driven solutions that advance sustainable mobility and demonstrate real-world applicability. The exhibition concluded with an awards ceremony celebrating the winners of the competition.

Mohammed Yousef Al Mudharreb, CEO of Corporate Technology Support Services Sector,  Deputy Head of RTA’s AI and Data Science Team, stated: “RTA’s organisation of AI Exhibition builds on the sustained efforts to advance initiatives and activities launched during Dubai AI Week last April. The event was held under the directives of His Highness Sheikh Hamdan bin Mohammed bin Rashid Al Maktoum, Crown Prince of Dubai, Deputy Prime Minister, Minister of Defence, and Chairman of The Executive Council of Dubai, and was organised by Dubai Centre for Artificial Intelligence, an initiative of Dubai Future Foundation.”

He added that RTA’s AI Exhibition placed strong emphasis on involving and motivating employees and strategic partners to adopt practical use cases of AI within RTA’s services.

“These activities are designed to enhance human capital in deploying and scaling artificial intelligence, foster a connected AI ecosystem that encourages agility and innovation, and position RTA as a leader in AI-driven transformation across its services, products, and operations,” said Al Mudharreb. He also underscored the importance of establishing robust corporate AI governance and reinforcing technical capabilities in AI and data to keep pace with rapid technological advancements.

Last April, RTA approved its “Artificial Intelligence Strategy 2030,” aimed at cementing its global leadership in AI-powered mobility through a fully integrated and interconnected framework that enhances quality of life in Dubai. The strategy encompasses 81 projects and initiatives.