采用认知行为建模方法,建立符合真实驾驶认知行为的认如模型并应用于车辆辅助驾驶系统,达到减少交通事故的目的.基于对交通安全及驾驶行为研究发展历程的回顾,阐明认知科学是解决交通安全问题的重要理论.以及驾驶认知行为建模是驾驶任务研究的有效手段;通过对典型认知体系结构的比较和对ACT-R及其研究的分析.提出了认知体系驾驶认知行为建模方法;借助ACT-R建模工具,以高速公路驾驶超车认知行为为例,基于模型的驾驶行为预测以及基于实验的模型有效性验证,证明了认知行为建模方法具有较广的适用性和灵活性.通过对认知体系驾驶行为建模的优势分析表明,交通安全领域驾驶认知行为建模的应用可以有效地建立起来并发挥重要作用。
To prevent traffic accident, cognitive behavior modeling method was adopted to construct driver behavior model that not only conforms to real cases but also is useful for building driver assistant systems. Retrospective analysis of researches in traffic safety and driver behavior showed that cognitive science is the essential theory for problem-solving of traffic safety and that driver cognitive behavior modeling method is an effective tool for task studies. On the basis of comparison between different typical cognitive architecture (CA) and analysis of the theories and researches of ACT-R, driver behavior modeling (DBM) method in ACT-R was raised. As an example, a highway overtaking behavior model in ACT-R was presented. Prediction of driver behavior and verification of the model both indicated that the DBM in CA method is very suitable and flexible. The illustration of the benefits of the method showed that it can be set up effectively and is very effective in the field of traffic safety.