In aviation, experience has shown that accidents are often preceded by safety-related incidents and occurrences revealing hazards at technological level, human factors and organisational deficiencies, but solely reactive interventions have limited efficacy. Existing legislative acts of the Union impose obligations on organizations involved in aviation activities to establish occurrence-reporting systems in the context of their Safety Management System supporting the performance of safety and risk assessment evaluations, utilising appropriate methods and techniques, coupled with specific information about an organization. The implementation of occurrence reporting should be proportionate to the size of an organization and the scope of its activity. However, the community of SMEs active in Europe in Aviation face serious issues both of data availability and specific methodologies, due to the fact that they experience only very few occurrences and events per year and are not very familiar with practical implementation of risk assessment approaches. Consequently, they need data, information about incidents and abnormal occurrences, as well as useful correlations for hazards analysis. This project aims at offering the possibility for SMEs to Share Knowledge for Effective Management of Aviation Safety (SKEMAS). The SKEMAS tool will enable SMEs both to fully comply with existing regulation and to enrich their usually scarce data sets in view for more complete and more realistic safety analysis. The generation of a shared database of methods for risk analysis and real data on occurrences and events will represent a substantial source of information and data shared amongst the various contributors, enabling to carry out valuable statistical analysis and risk assessment. Moreover, in strict compliance with the most recent EU regulations, such a database should ensure full protection from improper use of the data, de–identification of the sources and maximum confidentiality.

Driving style is seen not only to become a significant cause of greenhouse gas (GHG) and other air pollutant emissions but also a critical parameter regarding road safety, with huge social & financial adverse effects. GamECAR aims to develop a highly innovative and interactive Serious Games platform that will empower and guide users to adopt an eco-friendly driving style. This will be achieved, without distracting users from safe driving, through a multidisciplinary approach aiming at the development of a user friendly, unobtrusive multi-player gaming environment, where the users will not only play collaboratively/competitively using their mobile device but also using the car itself and their own bodies, thus turning eco-driving into an immersive and highly motivating experience. The sensing infrastructure of GamECAR will not only acquire data related to driving from an OBD sensor that will capture a complex set of parameters related to eco-driving, but will also sense environmental and physiological parameters of the driver, so as to better position the state of the system (car) in context (environment, user). The use of virtual user models and cognitive modeling of the users, will further boost personalization and adaptation of the game itself with respect to the needs of the individual driver. The GamECAR system will be quantified and evaluated in test campaigns with drivers in three different sites. Quantification campaigns serve system development and evaluation campaigns demonstrate usefulness and exploitation potential. Finally, the project has a clear exploitation plan through a balanced and highly complementary composition of SMEs that have specific roles in the development of the integrated GamECAR system. The impact of such a holistic and innovative approach is huge and the foundations laid here are expected to result in a widespread adoption of sensor-based gamification platforms in areas going far beyond eco-driving.