基于自适应神经模糊推理系统的高速公路临界安全车距研究  

A Model of Critical Safety Distance in Highway Based on ANFIS

作　　者：侯志祥[1] 吴义虎[1] 刘振闻[1] 

机构地区：[1]长沙交通学院汽车与机电工程系

出　　处：《计算机工程与应用》2004年第8期199-201,208,共4页Computer Engineering and Applications

基　　金：湖南省自然科学基金资助(编号:99jjy20055)

摘　　要：汽车高速追尾是我国高速公路交通事故的主要形式之一,研究高速公路汽车临界安全车距对预防汽车追尾事故的发生具有积极的意义。文章通过对高速公路汽车临界安全车距的分析,提出了一种高速公路汽车临界安全车距的ANFIS(自适应神经模糊推理系统)模型,经计算和对比分析,验证了该模型的有效性。Automobile rear end collision is the main form of traffic accidents in highway in china,and to study the model of critical safety distance is very important to decrease the traffic accidents causing by automobile rear end collision.In this paper,a model of critical safety distance in highway based on ANFIS(Adaptive Neural Fuzzy Infer-ence System)is provided through analysis the critical safety distance;and it's valid is proved through computation and comparison.

关 键 词：高速公路 临界安全车距 ANFIS 模型 仿真 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]