Road Safety

Road safety indicators are variables used to assess and predict the likelihood of accidents across a road network. In approaches such as Abertis’ Arlanda Initiative, EarthPulse publicly describes combining Earth Observation data, topographic features, meteorological information, road-network attributes, and traffic usage patterns to build a dynamic understanding of how risk evolves along high-capacity roads. The indicators highlighted include slope, orientation, speed-limit distribution, traffic density, and exposure to adverse weather.

By integrating these variables with accident records, vehicle exposure, and AI-based modelling, the system can identify road segments with higher risk even when historical accident data is incomplete. This supports early warning, prioritization of preventive actions, better deployment of operational teams, and more efficient maintenance and traffic management. EarthPulse also notes similar work with Prima Assicurazioni, where geospatial indicators were used to enhance traffic-risk modelling across multiple countries