Dubai announces an AI plan to reduce traffic congestion
Dubai plans to create artificial intelligence-based solutions to evaluate traffic and cut down on congestion.
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Artificial intelligence (AI) technology will be utilised by Dubai in order to evaluate traffic and relieve congestion on the city's highways.
The Roads and Transport Authority (RTA) has announced the establishment of an all-encompassing Enterprise Platform for the purpose of creating and developing artificial intelligence (AI) and data science solutions to world-class standards in conjunction with leading enterprises from across the world.
It is distinguished by an exceptional capacity to process data that is owned by the RTA and to restructure that data for the purpose of training machine learning models. These models foster innovation and leadership across a wide range of operations, including predictive maintenance for roads and bridges, route planning for public transportation, crowd management, and more.
Dubai AI road plans
RTA Director-General and Chairman of the Board of Executive Directors Mattar Al Tayer made the following statement on the launch of the platform: "The launch of this platform affirms RTA's commitment to advancing Dubai's transition into the world's smartest city."
"By utilising AI, the platform aims to improve the quality of life for residents while also increasing sustainability and the effectiveness of service delivery."
"When it comes to storage capacity, RTA is one of the major big data platforms in the United Arab Emirates. It has been connected with the AI platform so that it may take use of the historical data that is already available and generate use cases that are suitable for RTA's strategic and operational needs.
According to Al Tayer, "Applications include analysing traffic data and identifying patterns and forecasts, which contributes to an efficient road network planning and reduces traffic congestion." "Applications include analysing traffic data and identifying patterns and forecasts."
"The AI platform serves as a basis for RTA's AI project plan, which includes the execution of a wide variety of projects. It encompasses more than one hundred use cases across a variety of sectors, including predictive maintenance for RTA's assets and facilities, as well as the provision of AI-integrated smart services to improve the experiences of customers and employees alike, as well as the acceleration of the processing of administrative responsibilities.
"The use of predictive maintenance of roads and bridges, network planning for public transport, and control of crowds are significant use cases that characterise RTA's goal of implementing AI technology in all systems by the year 2031.
"It complies with the AI plan of the UAE and exemplifies the significance of data and AI in assisting decision-making and predicting future needs.
"In the end, it helps position RTA as one of the leading local, regional, and global government agencies,"
The AI platform is distinguished by its capacity to train deep machine learning models and by the provision of a large number of pre-built algorithms for machine learning. As a result, the necessity of developing source code is eliminated.
It also provides a system for evaluating the performance of different algorithms in terms of speed and accuracy, which enables the employment of the algorithm that is deemed to be the most appropriate.
In addition, it enables RTA to design AI use cases, integrate them into various systems like as websites and digital applications, monitor the performance of machine learning models, and implement a method to understand AI model choices. These capabilities are in addition to the fact that it monitors the performance of machine learning models.
As a result, it guarantees that AI models will not come to conclusions that are in conflict with the AI principles and ethics established by the Dubai Digital Authority.
RTA has provided training to several Emiratis in leadership, supervisory, and technical roles to equip them with the ability to analyse data and extract information that supports decision-making. Additionally, RTA is developing use cases on the RTA's AI platform, which will also boost the reliance on in-house resources in encouraging development across the board.