作　　者： ; ; ; ;

机构地区： 北京航空航天大学交通科学与工程学院

出　　处： 《公路交通科技》 2009年第9期116-119,124,共5页

摘　　要： 针对有关车辆跟随的传统车流跟驰理论存在的许多不足,分析了跟驰模型存在的问题,提出采用模糊模型来建立局部车流跟随模型,并针对隐性知识问题,提出了采用输入-输出数据对来设计模糊规则,应用权重来解决规则冲突问题并简化规则库。通过实例验证了模糊模型较之跟驰模型的优势。证明模糊模型更能有效地模拟真实的局部车流模型,其将对车辆避撞预警的研究提供理论上的参考价值。 With the development of the Advanced Vehicle Control System （AVCS）, the research of the characteristics of local vehicle platoon became an important topic. The traditional ear-following theory has many disadvantages in AVCS, for which the flaw of the car-following model was analyzed. As to the tacit knowledge problems, a fuzzy model was proposed to build local car-following model and the rule base was designed by inputoutput data. The weight factor was considered to solve the collision of the rule and the rule base simplicity. In the end, the fuzzy model was compared with traditional car-following model through an example. The result indicates that the fuzzy model has better performance at simulating real local car-following model as a reference for the study on vehicle intelligent collision warning in theory.

关 键 词： 交通工程 智能车辆 模糊模型 模糊规则 跟驰车流

领　　域： [交通运输工程] [交通运输工程]