SAFELY

Each year, over 1.3 million fatalities and 50 million injuries occur on roads globally, with vulnerable road users (VRUs)—pedestrians, cyclists, and motorcyclists—accounting for over half of these deaths. Current solutions often fail to provide localised, actionable insights to mitigate risks. Inspired by the EU’s Vision Zero goal, the SAFELY project aims to enhance urban road safety by leveraging data-driven tools to identify hazardous areas, understand accident patterns and implement targeted safety interventions. 

The project employs advanced analytics, machine learning algorithms and public participation mechanisms to deliver scalable, replicable road safety improvements. Through pilot demonstrations in Konya, Türkiye; and Sarajevo, Bosnia and Herzegovina; SAFELY integrates historical accident data, user feedback and geospatial analytics to identify and address safety risks. It will include high-density accident areas, cause-effect relations, accident type, vehicle type, etc. Based on these outputs of the solution, the project team will produce guidelines for spatial measures, including enhanced signage, pedestrian crossings and improved road markings. By fostering community engagement and utilising Mapalyse, the Public Participation Geographic Information System (PPGIS), the project ensures inclusive and effective outcomes. 

This collaboration includes the Technical University of Berlin (project lead), Parabol (commercial partner), and local authorities from the pilot cities. From January to December 2025, the project targets a reduction in VRU-related accidents, contributing to safer, more inclusive urban environments.