The acronym SIMUSAFE stands for SIMUlation of behavioural aspects for SAFEr transport.

The project aims to overcome the limitations of the Driving Simulators and Traffic Simulation as valid tools for studies in Traffic Safety, and bridge the gap between them and Naturalistic Driving tests. This will be achieved by creating tools for understanding and analysing traffic scenarios at micro and macro scale supported with the capability to incorporate actor behaviour from real environments into simulated ones.

Data collected from simulations will be correlated with naturalistic driving tests, such that the simulation and model aspects are the closest possible to real world data. From the developed model and collected data, impacting factors causing an event (crash, near-collision, infractions) from the environment and road users will be identified and quantified. Such knowledge will be the base for the development of more effective and pro-active measures for the prevention and mitigation of such factors, with subsequent impact in the safety devices market, regulations and driver education.


  • Reduction of fatal, serious and minor accidents through measures to mitigate unsafe transport user behaviour patterns
  • Economic savings linked to the reduction of accidents
  • Safer use of vehicles and increased awareness of other users
  • Effective enforcement and training schemes based on reliable behavioural models
  • Safe integration of new types of vehicle
  • Translation to other transport modes




This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement N. 723386