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Home » Blog » RTA Uses Advanced Data Solutions to Optimise Seasonal Marine Transport Network – UAE
UAE

RTA Uses Advanced Data Solutions to Optimise Seasonal Marine Transport Network – UAE

Aisha Al Habibi
Aisha Al Habibi
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The Dubai road and transport authority (RTA) has improved its seasonal network initiative for marine transport services through the adoption of advanced and flexible scientific and technological methodologies. This movement reflects the corporate agility of the RTA and the ability to adapt to the operational dynamics other than seasonal service periods. It also allows receptive adjustments to fluctuations in demand associated with holidays, festive seasons and important events in the Emirate.

The study that supports the development of the seasonal marine transport network implied the creation of internal algorithms designed to analyze and process large data from various sources. These algorithms facilitate the development of a flexible operating plan for the network and are scalable for the analysis of future data in the sector. The model is designed for seasonal application, with each season evaluated independently. Through its development, a careful consideration was considered to clarify customer satisfaction, while improving the rates of occupation of marine transport modes and the optimization of operational efficiency.

The study methodology for this project was based on the use of the predictive analysis to evaluate the data of the marine transport network. This approach allowed to forecast the impact of operating changes and the evaluation of the flexibility of the network to adjust the service schedules and the frequencies of in line with the passenger volumes, the occupation rates and the performance of the income of the marine transport modes.

The summer season plan will be implemented from May 2, taking advantage of large data that capture detailed ideas between marine transport services, including passenger volumes, income figures and occupation rates. These data sets offer critical information for services for the development of services and improve network efficiency by simulating user behavior and forecasting demand patterns.

Pale great data, advanced systems and digital applications has allowed greater flexibility to prepare and execute the initiative of the seasonal marine transport network. The services are implemented efficiently and precisely, following carefully developed plans and detailed operating schedules, in line with international best practices in the sector.

The initiative would be implemented in a seasonal basic, with its carefully structured development to ensure that customer needs remain at the time that occupation rates improve and reduce the operational costs of marine transport services.

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