Dubai's Roads and Transport Authority (RTA) has announced that they plan on using Artificial Intelligence (AI) to manage the crowds at metro stations during peak hours.
This new initiative is aimed at providing a smart solution that will help control crowds specifically at time when there is a lot of congestion.
The RTA has started the trial phase using NOL cards data, simulators and metro demand algorithms to understand detailed passenger journeys.
Ahmed Mahboub, Executive Director of Smart Services, Corporate Technology Support Services Sector at the RTA said, "We had experimented the use of artificial intelligence and machine learning technologies to propose specific transit timings for riders in a bid to streamline the demand for the metro service and spread it over longer durations. The process requires the development of a model to simulate train journeys throughout the day."
He further added, "Results of the pilot project indicate that trains serve about 40-80% of those at certain stations during peak times and public events, which is reflected in crowds and more frequent journeys. The experimental use of artificial intelligence reduced the congestion from 40% to 60%, and the waiting time to 30 minutes."