This paper describes the methods that have been developed and implemented to process research participant data generated by a high fidelity driving simulator that has been integrated with eye tracking equipment. The driving simulator is used for experimental studies to understand driving behavior. Solutions are implemented to programmatically process the output of the simulator and transform the raw data from these research experiments to an analysis ready format. The algorithm is tested across the data for numerous participants with varying scenarios within the experiments and is further curated to meet the requirements and standards of the research studies that require the use of driving simulator to generate data.
Keywords: Data Reduction; Driving Simulator; Eye Tracking; Translational Research.