RTA Dubai is using Artificial Intelligence to ease crowds in Dubai Metro
Roads and Transport Authority (RTA) is launching a pilot to manage crowds at metro stations during peak hours, using artificial intelligence technology. The process requires the development of a model to simulate train journeys throughout the day using artificial intelligence and machine learning technologies. The RTA has started the project’s trial phase using Nol cards data, simulators and metro demand algorithms to understand detailed passenger journeys.
RTA 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. 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.