{"id":38695,"date":"2022-10-19T10:01:46","date_gmt":"2022-10-19T08:01:46","guid":{"rendered":"https:\/\/www.innovagroupbcn.com\/?p=38695"},"modified":"2026-06-10T08:03:42","modified_gmt":"2026-06-10T06:03:42","slug":"smart-roundabouts-traffic-management","status":"publish","type":"post","link":"https:\/\/www.innovagroupbcn.com\/en\/blog\/mobility\/smart-roundabouts-traffic-management\/","title":{"rendered":"Smart Roundabouts: The Camera as a Sensor for Traffic Management"},"content":{"rendered":"\n

SIRAM Counter City Traffic permite predecir la congesti\u00f3n y el bloqueo en rotondas y cruces en la ciudad de Valencia mediante v\u00eddeo an\u00e1lisis. <\/em><\/p>\n\n\n\n

Urban traffic congestion is a major problem, not only in terms of time lost by drivers, but also in terms of controlling CO2 emissions and noise pollution. Large cities have already begun to take measures in the intelligent management of traffic, as is the case of the Community of Valencia, which has relied on our SIRAM Counter City Traffic technology for the\u00a0intelligent management of its streets and roundabouts through video analysis<\/strong>.<\/p>\n\n\n\n

One of the keys to the Valencia City Council project is the congestion of the roundabouts to access the city, where a high concentration of vehicles and high CO2 emissions are detected. For this purpose, already installed traffic management cameras have been used, which through video analytics allow to know the traffic density through\u00a0Siram Counter City Traffic<\/a>, in addition, it allows to evaluate the evolution of traffic in real time and anticipate the blocking of the roundabout. more than 10 minutes before it occurs.This makes it possible to apply automated preventive measures in real time to avoid such severe traffic blockages, since reactive measures do not prevent blocking and may require a long time to resolve.<\/p>\n\n\n\n

To guarantee maximum deployment and the construction of a comprehensive traffic management system, our video analysis solutions are easily integrated into any traffic management platform, allowing the definition of automated rules for intelligent traffic management.<\/p>\n\n\n\n

\"Rotondas<\/figure>\n\n\n\n

Thanks to SIRAM Counter CIty Traffic technology based on deep learning, it is possible to have a system with artificial intelligence in constant learning,\u00a0allowing forecasting and optimal traffic modeling<\/strong>. The technological adaptation is dynamic and adjusts to the real traffic situation, enabling a correct flow and a\u00a0reduction in accidents and CO2 emissions<\/strong>. Our technology provides key information on the current situation in real time of each roundabout and its surroundings in order to make decisions on time.<\/p>\n\n\n\n

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