Abu Dhabi: The UAE Roads and Transport Authority (RTA) announced the completion of 75 projects as part of the Smart City and Artificial Intelligence Programme.
The completed projects relate to the smart organisation, infrastructure, smart vehicles, data management, artificial intelligence and smart and sustainable transport.
RTA has accomplished a host of smart projects and initiatives such as Raqeeb system, which monitors the condition of 300 bus drivers.
The system contributed to reducing fatigue-related accidents by 65 per cent. The daily rate of exhaustion or lack of attentiveness cases detected by the system ranged from five to eight cases. RTA has introduced the system to two Dubai Trams on a trial basis, according to WAM.
RTA has also completed the installation of surveillance cameras in more than 10,000 taxis in Dubai. The cameras contributed to pushing customer satisfaction rating to as much as 83pc.
It has also completed Phase III of the Automated System for Monitoring Dedicated Bus Lanes, which has reduced the number of vehicles violating the bus lane by 83pc and improved bus on-time arrival by 20pc.
Projects include the smart pedestrian signalling system at 15 locations. Through smart sensors, the system increases or abolishes the time allocated to pedestrians, based on people movement detected by the system. Projects include the smart parking booking system enabling the client to book parking before arrival to the intended destination.
It has introduced field inspection of trucks unit. It is a smart vehicle fitted with smart solutions to support the monitoring and inspection of heavy vehicles. The process involves a mobile monitoring centre to target hotspots witnessing frequent offences and the provision of vehicles inspection robot.
It has also finished work on a new phase in the deployment of a new wave of advanced technologies at the Enterprise Command and Control Centre (EC3).
In 2018, the centre monitored more than 170 events across the emirate to ensure smooth mobility during events along with the response time to emergency cases related to mobility. Through the adoption of artificial intelligence, the centre processes big data amounting to 75 million mobility data-entry per day
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