摘要
着重从驾驶行为分析的角度,对车辆跟驰模型中与人的因素有关的GM模型、CA模型、线性Helly模型、AP模型以及基于模糊逻辑和神经网络的车辆跟驰模型进行了详细的评述,提出了未来智能交通流中应充分考虑到数字驾驶行为对智能车辆跟驰建模与仿真的影响,以期正确地揭示出交通流的特性和本质。
From the view of driving behaviour analysis, this paper reviews, in detail, the historical research of car-following models with respect to such human factors as CM models, CA models, Helly linear models and the models based on fuzzy logic and artificial neural network. And in particular,this paper proposes that it is important to take into full consideration the influence of digital driving behavior on car following modeling and simulation in intelligent traffic flow research, so as to correctly reveal the characteristics and essence of traffic flow.
出处
《交通与计算机》
2003年第6期32-36,共5页
Computer and Communications
基金
霍英东青年教师基金资助(81069)
国家自然科学基金资助(50078005)
