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

世界范围内的伤害死亡人数预计将从1990年的510万人增加到2020年的840万人，其中与交通有关的伤害是造成这一增长的主要原因。这项拟议的研究计划旨在通过首先加深对驾驶的认知(头眼)任务的理解，识别相关的风险因素，并将这些发现整合到司机意图的预测模型中，从而减少这些死亡事件。该计划的长期目标包括识别影响交通安全的驾驶认知因素，定义自动车辆安全技术设计的合理原则，以及开发智能高级驾驶辅助系统(I-ADAS)，并将驾驶员行为预测和纠正作为安全改进的中心宗旨。

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.