Project Description
The SMARTIN project aims to accelerate the attainment of the Green Deal goals through an holistic framework of innovative models, tools, and services that enable data-driven evolution of infrastructure management, facilitate dynamic monitoring of cyber-physical infrastructures, and promote multimodality and fair use of transportation systems and services.
As part of the Barcelona pilot, we are developing artificial intelligence models for conducting thorough analysis of congestion factors and for establishing an authentically proactive system for network management. These computer vision models will detect pedestrians and lane defects in micromobility infrastructure.
Motivation
Digital solutions are key to creating efficient, resilient, and sustainable transport systems. Technologies like AI, IoT, and 5G enable real-time monitoring, predictive maintenance, and dynamic traffic management, reducing disruptions and fossil fuel dependency. They also enhance accessibility and safety, especially for vulnerable road users. However, challenges remain, including the high cost and complexity of monitoring diverse infrastructure across urban and rural areas. To meet climate goals and improve safety, especially with growing urbanisation, it is essential to develop accurate, data-driven tools that support proactive infrastructure management and evidence-based decision-making.
