RoadLab: An investigation of predictive driver behaviour models for road safety

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World-wide deaths from injuries are projected to rise from 5.1 million in 1990 to 8.4 million in 2020, with traffic-related injuries representing the major cause for this increase. This proposed research program aims at reducing these fatalities by first developing a deeper understanding of the cognitive (cephalo-ocular) task of driving, identifying related risk factors and integrating these findings into predictive models of driver intentionality. The long term goals of this program include the identification of the cognitive factors involved in driving that impact traffic safety, the definition of sound principles for the design of automated vehicular safety technologies, and the development of intelligent, Advanced Driving Assistance Systems (i-ADAS), with driver behaviour prediction and correction as the central tenet of safety improvement.