Latest news with #AutomatedRailwayInfrastructureInspectionSystem
What's On
12 hours ago
- Business
- What's On
Watch: AI robot patrols the Dubai Metro at night to ensure our safety
In June 2025, Dubai's Roads and Transport Authority (RTA) announced a major upgrade to the Dubai Metro, a futuristic AI robot that inspects the tracks at night. Over the past two months, the AI robot called Automated Railway Infrastructure Inspection System (ARIIS) has been busy working as residents sleep, scanning the tracks for maintenance needs, all without disrupting your daily commute. RTA has just announced an update on ARIIS, providing stats that showcase its efficiency. Since its implementation, inspection times have dropped by 75 per cent, saving an estimated 1,700 human work hours. Traditional inspection activities have been reduced by 70 per cent, while the accuracy and speed of condition assessments have also improved by 40 per cent. How does ARIIS work? ARIIS is a robot that is equipped with high-resolution 3D cameras, laser scanners, and advanced sensors. As it navigates the network, it collects data on track conditions. The data is then analysed using AI giving feedback on wear and tear, cracks, and even structural deviations. ARIIS is also able to anticipate future problems, allowing for a proactive approach to maintenance. The new technology also significantly extends the life of metro infrastructure and reduces costly emergency interventions, cutting routine maintenance expenses by up to 25 per cent. More importantly, the new system limits the need for personnel to enter railway corridors, enhancing safety. Currently, the new technology is only deployed on selected metro lines, but plans are in place to implement ARIIS on the entire network. Similar technology will also be announced for other forms of public transportation in Dubai including the Dubai Tram. ARIIS supports RTA's vision to be a world leader in seamless and sustainable mobility. It also aligns with Dubai's long-term vision to become a global leader in AI and smart, sustainable infrastructure. Images: RTA > Sign up for FREE to get exclusive updates that you are interested in
Hi Dubai
13 hours ago
- Business
- Hi Dubai
RTA Deploys AI System to Transform Metro Inspections
Dubai's Roads and Transport Authority (RTA) has introduced the Automated Railway Infrastructure Inspection System (ARIIS), an artificial intelligence-powered solution designed to enhance the safety, efficiency and reliability of Dubai Metro operations. The advanced robotic platform, equipped with sensors, lasers and 3D cameras, inspects rail tracks and infrastructure autonomously without disrupting metro services. By replacing traditional manual inspections, ARIIS cuts periodic inspection time by 75 per cent, saving nearly 1,700 working hours and reducing costs by up to 25 per cent. The system uses real-time data analytics to support predictive maintenance, extending infrastructure lifespan and improving resource management efficiency by 40 per cent. It has also improved condition assessment capabilities by 40 per cent, accelerating maintenance and reducing emergency interventions. Currently deployed across select metro lines, ARIIS will be expanded to the entire network following operational evaluation. The RTA is also studying the potential application of similar technologies to the tram system. All inspections are scheduled during nightly maintenance windows and coordinated with the control centre, ensuring passenger services remain unaffected while raising safety standards across the network. News Source: Emirates News Agency
Gulf Business
14 hours ago
- Business
- Gulf Business
Dubai's AI robot patrols the metro: Here's how it's saving thousands of hours
Image credit: WAM/Website Dubai's Roads and Transport Authority (RTA) has provided an update on how its Automated Railway Infrastructure Inspection System (ARIIS), a cutting-edge AI-powered solution, is enhancing metro maintenance and inspections. This smart robotic platform marks a significant leap in applying artificial intelligence in transportation, boosting safety and operational efficiency while drastically reducing reliance on manual inspections. Read- The move aligns with Dubai's long-term vision to become a global leader in AI and smart, sustainable infrastructure, Inside the technology ARIIS is an autonomous robotic platform equipped with high-resolution 3D cameras, laser scanners, and advanced sensors. It operates primarily during night-time maintenance windows, performing thorough inspections of metro tracks and infrastructure without causing any disruption to passenger services. As it navigates the network, ARIIS collects comprehensive data on track conditions, including wear and tear, cracks, and structural deviations. This data is then analysed using advanced AI algorithms to enable predictive maintenance. The system doesn't just identify current issues, it anticipates future problems, allowing maintenance teams to act proactively. This forward-looking approach significantly extends the life of metro infrastructure, reduces costly emergency interventions, and cuts routine maintenance expenses by up to 25 per cent. Efficiency that speaks volumes Since its implementation, ARIIS has delivered remarkable efficiency gains. Inspection times have dropped by 75 per cent, saving an estimated 1,700 human work hours. Traditional inspection activities have been reduced by 70 per cent, while the accuracy and speed of condition assessments have improved by 40 per cent. The RTA also reports that ARIIS has helped optimise maintenance resource allocation by 40 per cent, thanks to the system's real-time data analytics, which support smarter, data-driven decision-making. These advances not only cut costs but also enhance the reliability and safety of the entire Dubai Metro network, benefitting daily commuters and operational staff alike. What's next for ARIIS? Currently deployed on selected metro lines, ARIIS is undergoing phased implementation across the entire network. The RTA confirmed that full deployment will follow successful technical evaluations. Looking ahead, the authority is considering expanding similar AI-based technologies to other forms of public transit, including the Dubai Tram, depending on infrastructure compatibility. All ARIIS inspections are carried out according to the highest occupational safety standards and are centrally coordinated to ensure seamless integration with ongoing metro operations.
Time of India
14 hours ago
- Business
- Time of India
AI-enabled railway maintenance advances Dubai's model for operational innovation
Advt Advt The Automated Railway Infrastructure Inspection System (ARIIS), implemented by Dubai's Roads and Transport Authority (RTA), constitutes a practical model for employing the latest artificial intelligence technologies in the transport sector. It aims to enhance the efficiency of operational maintenance and improve safety standards, while reducing reliance on traditional inspections that previously consumed significant time and innovative technology marks a significant advancement in Dubai Metro 's operational maintenance, aligning with Dubai's vision to be a global leader in Artificial Intelligence and sustainable infrastructure . ARIIS, a sophisticated robotic platform equipped with state-of-the-art sensors, lasers, and 3D cameras, autonomously inspects rail tracks, and critical infrastructure without interrupting metro operations. This solution underscores Dubai Metro's commitment to enhancing safety, efficiency, and reliability through pioneering smart groundbreaking AI-driven robotic inspection solution enables the application of proactive maintenance strategies through advanced diagnostic technologies, helping to extend the lifespan of infrastructure and reduce periodic maintenance costs by up to 25 per cent. Real-time data analytics also support precise and well-informed maintenance decisions, enhancing resource management efficiency by 40 per cent and minimizing unnecessary its implementation, the ARIIS has succeeded in reducing the time required for periodic inspections by 75 per cent, equivalent to saving nearly 1,700 human working hours, and cutting traditional inspection operations by up to 70 per cent. It has also improved infrastructure condition assessment capabilities by 40 per cent, accelerating maintenance procedures, reducing emergency interventions, and enhancing the overall reliability of the metro RTA noted that the system is currently being phased in across select metro lines, with a comprehensive plan to roll it out across all routes following successful technical and operational Authority also revealed that it is studying the possibility of extending ARIIS-or similar technologies-to other modes of transport, such as the tram, depending on the nature of their infrastructure and operational system collects comprehensive data covering rail conditions, cracks, wear and tear, and deviations, which are then analysed using artificial intelligence algorithms to support data-driven predictive maintenance. This approach enhances infrastructure sustainability and extends its service inspections are carried out in line with the highest occupational safety standards, coordinated with the control centre, and scheduled during nightly maintenance windows to minimize impact on metro operations and passenger services. Thanks to the smart technology, inspections have become faster and more accurate, eliminating the need to suspend or delay services.
Filipino Times
14 hours ago
- Business
- Filipino Times
Dubai deploys AI-powered inspection system to boost metro safety and efficiency
Dubai's Roads and Transport Authority (RTA) has introduced the Automated Railway Infrastructure Inspection System (ARIIS), an AI-powered robotic platform designed to enhance Dubai Metro's operational maintenance and safety. Equipped with advanced sensors, lasers, and 3D cameras, ARIIS autonomously inspects rail tracks and key infrastructure without disrupting metro services. The system reduces reliance on manual inspections, cutting periodic inspection time by 75%, equivalent to 1,700 working hours saved, and lowering traditional inspection operations by up to 70%. According to RTA, ARIIS improves infrastructure assessments by 40%, enabling faster maintenance, fewer emergency interventions, and greater reliability of the metro network. Real-time analytics also support predictive maintenance strategies, reducing maintenance costs by up to 25% and improving resource management efficiency by 40%. The system is currently being phased in across select metro lines, with plans to expand across the network following technical evaluation. RTA is also exploring the use of similar AI-driven inspection systems for trams and other transport modes. All inspections are scheduled during nightly maintenance hours and coordinated with the control center to ensure passenger services remain unaffected.
