The study can help make the Dubai Metro service to be more efficient.
Dubai’s Roads and Transport Authority (RTA) recently started a trial phase of using artificial intelligence to aid simulators in determining the demand for the metro service. This technology aims to study crowd management during peak hours on metro stations and how it can be more efficient in providing fast transit times.
“The project aims to develop a smart and interactive system responsive to the needs of the metro riders. The project seeks to propose convenient transit timing for metro riders through understanding the demand pattern of the service and adjusting it to control overcrowding,” said Ahmed Mahboub, Executive Director of Smart Services, Corporate Technology Support Services Sector, RTA.
He added that both artificial intelligence and machine learning aided them in determining the best transit timings for riders. This can help in streamlining the demand for metro service and can be efficient in offering better transport durations. Mahboub also added that the study involved the development of a model that can simulate a train journey on a certain day. Data such as nol usage and metro demands were also added as metrics to understand passenger journeys. The data suggested by artificial intelligence managed to reduce congestion in metro stations from 40 percent to 60 percent with waiting time at around 30 minutes.
“The artificial intelligence technology contributed to proposing specific periods and redistributing the demand to improve the customers’ experience by offering them definite timings for boarding that enable them timely reaching their destinations,” Mahboub added.
This will be an ongoing study by the RTA that said customers will be always the top priority for public transport. This is part of the Smart Dubai initiative in line with the leader’s call for adopting the UAE Artificial Intelligence Strategy.