Sustainable Development Goals
Mobi's system covers the full operational cycle from data fusion to traffic plan automation - by using artificial intelligence, predictive simulations and IoT with connected-vehicle technology, it enables policy makers, transportation planners and traffic controllers to pinpoint bottleneck emergence, disseminate traffic load buildup and preempt gridlocks. Mobility situational awareness, real time actionable insights and adaptive traffic network management provide the smart city key to unlock the grid.
9.4 By 2030, upgrade infrastructure and retrofit industries to make them sustainable, with increased resource-use efficiency and greater adoption of clean and environmentally sound technologies and industrial processes, with all countries taking action in accordance with their respective capabilities
11.6 By 2030, reduce the adverse per capita environmental impact of cities, including by paying special attention to air quality and municipal and other waste management
Measured as the savings in carbon footprint as a result of using Mobi. Calculated against the total annual hours of cars on the road in a given area.
Measured as the change in annual mean fine particulate matter (e.g. PM2.5 and PM10) in cities (population weighted) emitted as a result of using cars.