The main objective of the SafetyCube project is to develop an innovative decision-making support system for road safety (DSS), making it possible to select and implement the most appropriate strategies, the most cost-effective measures, and approaches to reduce accidents of all types of road users and all levels of seriousness in Europe and the world.
The project developed a support system for road safety decision-making, based on a systematic and rigorous analysis of causal factors and effectiveness of the interventions.
The information presented in the DSS on road safety was collected, analysed, and summarised by a multidisciplinary team of road safety experts, also on the basis of an extensive consultation with the parties concerned. A well-defined, systematic, and rigorous methodology was developed and applied, made up of:
- taxonomy for the classification of the risk factors and measures;
- identification criteria and the prioritisation of the pertinent literature;
- coding of the single studies by means of a dedicated model;
- analysis of comparable study groups and synthesis of results by means of meta-analyses or other appropriate techniques.
Loughborough University, National Technical University of Athens (NTUA), VIAS Institute, SWOV Institute for Road Safety Research, Austrian Road Safety Board (KFV), French Institute of Science and Technology for Transport, Development and Networks (IFSTARR), SAFER Vehicle and Traffic Safety Centre (CHALMERS), Institute of Transport Economics (TØI), European Union Road Federation (ERF), Agency for Public Health Barcelona (ASPB), Medical University of Hannover (MHH), Slovenian Traffic Safety Agency (AVP), Laboratory of Accidentology Biomechanics and Human Behaviour (LAB), Centre Européen d’Etudes de Sécurité et d’Analyse des Risques (CEESAR), Foundation for Transport and Energy Research and Development (CIDAUT), DEKRA Automobil GmbH