The pilot phase resulted in reduced congestion and less passenger waiting
"Dubai Metro" uses "artificial intelligence" to manage crowds during prime time
The integrated technical infrastructure contributed to smart solutions to the challenges.
From the source
Ahmed Mahboob: "We aim for a smart system that interacts with customers by proposing train trips."
picture
The Roads and Transport Authority in Dubai revealed the implementation of a pilot phase of a project to use artificial intelligence through simulation models, to control the increase in metro demand, reduce congestion, and manage crowds during the peak period at some stations or public events or the high demand rate.
"The project aims to have a smart system that interacts with metro users to provide recommendations for comfortable transportation according to their needs to reduce congestion, by understanding the patterns of demand on the metro and adjusting it to prevent congestion," said Ahmed Mahboob, Director of the Smart Services Executive Department in the Institutional Technical Support Sector. .
He pointed out that using artificial intelligence and machine learning techniques to suggest specific time periods to passengers would organize requests on the metro and distribute them over longer periods, by preparing a model to simulate train journeys throughout the day using Nol card data, and using algorithms to study metro demand, along with a screen. Offer to understand passenger trips in a detailed way.
He added that the results of the experiment revealed that the carrying capacity had reached from 40% to 80%, which could be reflected in the density of trains, and the presence of crowded passengers at peak times or public events, and that the simulation model showed that the flow of passengers during peak periods will lead to congestion and periods. Long wait before going up to the metro.
He explained that the experimental use of artificial intelligence techniques resulted in a decrease in the congestion rate from 40% to 60%, and a reduction in passengers' waiting up to 30 minutes, as the artificial intelligence technology contributed to suggesting specific time periods and redistributing the request to improve the customer experience by ensuring the time of boarding and arriving trains. To their destinations in the specified time, and these results are being studied and their feasibility for implementing the project.
Mahboub emphasized that the existence of an integrated technical infrastructure in the authority contributed to the existence of smart solutions to some of the challenges that may arise in the service sector, such as the increase in demand for it, and that the authority is keen to make people happy and meet their aspirations, in addition to accompanying us to translate our first strategic goal, “Smart Dubai” into A reality that coincides with the ambitions of our leadership.
Follow our latest local and sports news, and the latest political and economic developments via Google news