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From customer service and feedback management to drivers’ training and mass transit, AI is at the heart of Dubai’s expanding mobility sector.
Long before the phrase entered the common parlance, Dubai Metro hit the tracks as the world’s longest driverless train network, driven by artificial intelligence.
The RTA now aims to make AI its primary focus, looking to have one in four public transport journeys driverless by 2030, besides employing AI in pedestrian crossings, driver training, monitoring of drivers as well as communication.
According to Mohammad Al Khayyat, RTA’s Director of Smart Services, “RTA aspires to implement AI in many focus areas to deliver value to its core business as well as corporate aspects. These areas include traffic management, getting around Dubai, customer experience, cognitive licensing services, safety and, security, crisis management, intelligent administration, asset management, knowledge and innovation management.”
“The future is autonomous and driverless transport and it heavily uses artificial intelligence technologies such as machine learning, deep learning, computer visions and robotics. With the aim of making one in four journeys on mass transit driverless in Dubai by 2020, RTA has developed a strategy to realise autonomous public transport that is more efficient, cleaner and safer,” said Mohammad Al Khayyat, Director, RTA Smart Services.
He added that the RTA is planning to introduce AI-drivern autonomous vehicles in different sectors of Dubai’s public transport including buses and taxis, along with the expansion of the Dubai Metro, which is already autonomous.
Smart kiosks and customer happiness meters are being AI driven.
“We are tyring to engage more customers by developing self-service offerings. The customers’ happiness meter is based on AI and it gauges customer’s happiness through facial expression recognition,” said Al Khayat.
Safety and efficiency
‘Al Raqeeb’, an AI-driven safety and efficiency system for public buses keeps an eye on bus drivers and alerts the command centre if it detects anything unusual.
The system has a sophisticated device fitted in front of the bus driver to monitor any indicators of fatigue, tiredness or illness suffered by the driver, which are transmitted to the Control Room at the RTA where the case will be immediately responded to.
A trial phase of the system has shown that monitoring devices have helped reduce fatigue-related cases by 88 per cent.
Smart Pedestrian Signals: These are run by a system based on sensors connected to a ground optical system synchronised with the signal’s light operation. It uses AI to perceive the pedestrian movement and automatically readjusts the remaining time based on the inputs “for safe crossing for the largest possible number of pedestrians in a smooth manner with minimal impact on the movement of vehicles,” said Al Khayyat.[…]