An Intelligent Transportation System (ITS) applies information and communication technologies to improve the efficiency, safety, and sustainability of transportation. Our analysis focuses on the integration of real-time data, adaptive traffic signaling, and traffic management in complex urban environments.

We use simulation models based on historical and real-time data on passenger flow, travel times, and urban events. This allows us to identify bottlenecks and propose adjustments in frequencies, alternative routes, and modal interchange points to reduce waiting and travel times.

Our analyses integrate anonymized data from traffic sensors, GPS from public fleets, transit card transactions, and mobile network data. All processing complies with data protection regulations to ensure privacy.

Mobility logistics focuses on the efficient movement of people rather than goods. It involves planning and managing people flows, considering variables such as peak hours, available transport modes (metro, bus, bicycle), and the interconnection between them for seamless urban movement.