“Integration of Artificial Intelligence (AI) and Internet of Things (IoT) in Traffic Management”
- Governments and city planners are adopting AI-powered traffic management systems to streamline urban mobility, such as Barcelona’s smart city initiative that uses IoT sensors to manage real-time traffic flow
- AI-based predictive analytics enable faster response to accidents and better traffic forecasting, as seen in London’s implementation of AI traffic signal optimization through Transport for London (TfL)
- IoT devices embedded in roadways and vehicles collect data on traffic volume, weather, and road conditions to optimize route guidance, which has been successfully piloted in Singapore’s Smart Mobility 2030 plan
- Companies such as Cisco and Siemens are investing in AI + IoT traffic platforms, helping cities such as Berlin and San Diego implement connected infrastructure for safety and congestion reduction
- Real-time integration of AI and IoT improves emergency response efficiency by up to 25%, according to a 2024 McKinsey urban mobility report
