We will develop RouteSim, a game-changing Route Learning desktop simulator used by qualified and trainee train drivers to gain mandatory knowledge of routes. Currently drivers obtain route knowledge by spending time in a 'fixed' simulator (which is based on an actual train cab and uses expensive CGI generated 'replicas' of actual routes) and observing available route video. RouteSim will combine these two existing methods, by combining captured 'in-cab' route video with a fully interactive 'virtual' cab, which can be deployed to desktop, laptop and tablet.

Analysts predict a shortfall of 10,000 train drivers in the UK by 2030 due to staff retirement and the planned expansion of the rail network. in order to address the predicted shortfall, the rail industry will need to recruit and train new drivers quicker and more effectively. Pedagogy research shows that fully interactive, immersive digital solutions increase knowledge retention and reduce learning time compared to traditional learning methods, which is why we are developing a scenario driven rail signalling and safety desktop simulator which will improve on current classroom based training for train drivers.

IN Reality will develop an Artificial Intelligence (AI) engine that will enhance agent (or virtual character) behaviour in a real time Virtual Reality (VR) simulation.