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Abu Dhabi launches free flow paid parking system - Emirates 24|7

WAM · Jun 1

Abu Dhabi has launched a new 'free flow' paid parking system, indicating an automated approach to managing urban parking. This system is designed to streamline vehicle identification and billing processes without traditional barriers. It aims to improve traffic flow and enhance the convenience for residents and visitors in the emirate. Why it matters: This initiative demonstrates the UAE's ongoing commitment to smart city development and the integration of advanced technologies like computer vision into public services.

No SMS, no tickets: Abu Dhabi rolls out AI-powered smart parking - Gulf News

Gulf News · Jun 3

Abu Dhabi has rolled out an AI-powered smart parking system across the emirate, aiming to eliminate the need for SMS payments and physical parking tickets. This new initiative leverages artificial intelligence for more efficient management of parking spaces. The system is designed to streamline urban mobility and enhance user experience. Why it matters: This deployment represents a significant step in Abu Dhabi's smart city initiatives and the broader adoption of AI for urban infrastructure management in the region.

Imagine a city that thinks about your safety

KAUST · Aug 6

KAUST researchers have developed a dual-use wireless sensor system that monitors both traffic congestion and flood incidents in cities. The system combines ultrasonic range finders and infrared thermal sensors to provide real-time, accurate data on traffic flow and roadway flooding. Data is sent to central servers and assimilated with satellite data to form real-time maps and forecasts. Why it matters: This technology can provide up-to-the-minute warnings for flash floods and traffic, enabling rapid emergency response and potentially saving lives in urban environments.

Movement Control of Smart Mosque's Domes using CSRNet and Fuzzy Logic Techniques

arXiv · Oct 13

This paper proposes a smart dome model for mosques that uses AI to control dome movements based on weather conditions and overcrowding. The model utilizes Congested Scene Recognition Network (CSRNet) and fuzzy logic techniques in Python to determine when to open and close the domes to maintain fresh air and sunlight. The goal is to automatically manage dome operation based on real-time data, specifying the duration for which the domes should remain open each hour.