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Dubai Integrates LiDAR & Digital Twins For Road Management

The Road and Traffic Authority hopes to enhance road maintenance with faster, safer, and more accurate assessments.

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dubai integrates lidar and digital twins for road management
Dubai Media Office

Dubai’s Roads and Transport Authority (RTA) is stepping up its road maintenance game by introducing LiDAR — short for Light Detection and Ranging — into its asset management system. This tech shift is part of a broader strategy to modernize how the city monitors and maintains its roads, using data-driven insights from digital twin platforms.

LiDAR isn’t new to the tech world, but RTA’s application of it marks a leap in how public infrastructure is managed. Instead of relying on slower, traditional visual inspections, lasers scan and map road conditions in real time. The result? Faster, more accurate data collection that feeds into advanced maintenance strategies — both preventive and predictive.

Hussain Al Banna, CEO of the Traffic and Roads Agency at RTA, highlighted the efficiency gains. “LiDAR technology delivers a remarkable boost in performance and speed, delivering up to 300% compared to traditional visual inspections,” he said. It’s a move that fits with Dubai’s broader vision of becoming a global model for smart, sustainable cities.

Accuracy is another key benefit. According to Al Banna, LiDAR offers up to 95% accuracy when assessing road conditions. This precision enhances the reliability of the data used for infrastructure decisions and helps streamline maintenance planning.

Also Read: Checkout.com Set To Launch Card Issuing In The UAE

LiDAR also enables safer inspections of high-up or hard-to-reach assets — think traffic lights, road signs, and lighting poles. This kind of efficiency isn’t just about numbers; it also reduces (or even eliminates) the need for manual labor in hazardous environments.

The scale of coverage is another game-changer. LiDAR will allow the RTA to scan around 80 kilometers of roads in a single day — a massive improvement compared to older methods, which typically cap out at 3 kilometers per day. Scanning can also be done on the move, at speeds between 30 and 100 km/h, helping to avoid road closures and traffic blockages.

Al Banna also emphasized the value of this real-time, high-resolution data in long-term planning: “This advanced technology delivers highly accurate data and detailed analysis of asset conditions, supporting the long-term sustainability of the Assets Condition Index (ACI)”. He noted that it helps in smart scheduling of maintenance, especially predictive tasks, by prioritizing based on strategic needs.

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Nano Banana 2 Arrives In MENA For Google Gemini Users

Google brings its latest image model to Gemini and Search, adding 4K output and tighter text control for regional users.

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nano banana 2 arrives in mena for google gemini users
Google

Google has opened access to Nano Banana 2 across the Middle East and North Africa, pushing its newest image model into everyday tools rather than keeping it inside the exclusive (and expensive) Pro tier.

The rollout spans the Google Gemini desktop and mobile apps, and extends to Google Search through Lens and AI Mode. Developers can also test it in preview via AI Studio and the Gemini API.

Nano Banana 2 runs on Gemini Flash, Google’s fast inference layer. The focus is speed, but also control. Users can export visuals from 512px up to 4K, adjusting aspect ratios for everything from vertical social posts to widescreen displays.

The model maintains character likeness across up to five figures and preserves fidelity for as many as 14 objects within a single workflow. This enables visual continuity across scenes, iterations, or edits — supporting projects like short films, storyboards, and multi-scene narratives. Text rendering has also been improved, delivering legible typography in mockups and greeting cards, with built-in translation and localization directly within images.

Also Read: RØDE Adds Direct iPhone Pairing To Wireless GO And Pro Mics

Under the hood, the system taps Gemini’s broader knowledge base and pulls in real-time information and imagery from web search to render specific subjects more accurately. Lighting and fine detail have been upgraded, without slowing output.

By embedding the model inside Gemini and Search, Google is normalizing advanced image generation for a mass audience. In MENA, where startups and marketing teams are leaning heavily on AI to scale content across languages and borders, that shift lands at a practical moment.

The move also folds creative tooling deeper into search itself, so that image generation is no longer a separate workflow. It now sits right next to the query box.

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