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AI implementation in urban traffic management

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2026-09-25 08:04 UTC → 2026-09-29 09:52 UTC · added ~~removed~~

Cities are implementing artificial intelligence to manage pedestrian and cyclist traffic at intersections. In Las Vegas, a pilot program at 16 intersections uses SecurOS Soffit cameras to analyze the posture, movements, and facial expressions of people. If the system determines a person intends to cross, it activates a spotlight to follow them. This technology has faced criticism regarding the collection of biometric data and its effectiveness in mitigating accidents caused by speeding or distracted driving. In Vienna, authorities are upgrading approximately 200 push-button traffic lights with AI technology. ~~The~~ Developed by the Graz University of Technology, the system uses cameras and sensors to monitor a 30-square-meter area, identifying the number of people waiting and their specific needs. For instance, the software can extend green light phases for individuals using wheelchairs, strollers, or walking aids. ~~While developers~~ Currently, approximately 30 of these intelligent signaling systems are operational in the Austrian capital, with plans to equip the remaining button-operated lights in the coming years. City officials state that ~~camera~~ these systems improve traffic flow, enhance safety, and contribute to environmental protection. To address privacy concerns, the city maintains that images are ~~typically deleted within 50 milliseconds~~ not stored; instead, data processing occurs locally in real-time to ~~protect privacy,~~ identify only necessary information, such as the ~~rollout has still prompted concerns regarding potential surveillance.~~ number and category of people at the crossing.

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