Dubai’s RTA Integrates AI to Manage Marine Transport Demand
The Roads and Transport Authority (RTA) has implemented artificial intelligence and predictive analytics to manage its seasonal marine transport network. This initiative aims to increase operational flexibility by adjusting service levels in response to demand fluctuations during public holidays, major events, and seasonal changes.
The RTA will launch its summer operating plan in July. The strategy relies on a data repository that tracks passenger volume, occupancy rates, and revenue. According to the agency, this system utilizes in-house algorithms to process large datasets, allowing for more precise forecasting of service requirements.
Khalaf Belghuzooz Al Zarooni, Director of Marine Transport at the RTA’s Public Transport Agency, stated that the model simulates passenger behavior to determine optimal operating schedules. The department noted that this technical approach is supplemented by customer feedback gathered through official channels to ensure service design remains aligned with user requirements.

The RTA intends for this data-driven model to improve efficiency and operational sustainability, aiming to maintain service standards as the emirate’s transit needs evolve.
Photo credits: Government of Dubai Media Office
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