汽车驾驶员疲劳的心理生理检测及神经机制

疲劳驾驶已经成为交通事故的主要隐患之一，也成为公共交通安全领域的重要问题。由于驾驶疲劳具有隐蔽性，因此确定合适、精准的检测方法和指标是对驾驶疲劳检测的关键。以往的研究多采用单一评定方法，至今未能形成一套从生理、认知、行为及相应脑机制的完备检测模型。本项目拟通过行为、眼动和脑电相结合的方法，集中研究疲劳状态下的驾驶员视觉、知觉判断、动作等心理认知与生理、脑机制共同对驾驶疲劳的影响，进一步探索能够更精准地用以检测和评价驾驶疲劳的各项心理、生理和脑电指标，进而加以整合，为认识驾驶疲劳的内部机制和外部表现提供更充分的依据，最终建立一套疲劳检测模型，发展出更加有效、持久的预防和干预手段，为设计开发疲劳监测装置的实际应用提供理论依据。

A large part of traffic accidents result from the driver fatigue. Therefore, the detection of driver fatigue has received more and more attention of public transportation safety. Due to driver fatigue is concealed, determining appropriate and accurate methods and indicators of driver fatigue detection are most important. Previous studies have not formed a complete detection model from physiology, cognition, behavior and brain mechanism using a single evaluation method. This project intends to discuss the effect of combining vision, perceptual judgment, driving behavior, physiology, brain mechanism on driver fatigue based on behavior, eye movement and ERP data. Combining experimental result and computing a fatigue detection model, we will provide fully evidence for understanding internal mechanism and external performance of driving fatigue, and develop more effective and durable methods of prevention and intervention, also provide a theoretical basis for develop fatigue monitoring device.