高速公路汽车追尾模型  

Automobile rear end collision model on freeway

作　　者：侯志祥[1] 吴义虎[2] 刘振闻[2] 李河清[2] 

机构地区：[1]中南大学信息科学与工程学院,湖南长沙410083 [2]长沙理工大学汽车与机械工程学院,湖南长沙410076

出　　处：《交通运输工程学报》2004年第4期37-39,共3页Journal of Traffic and Transportation Engineering

基　　金：湖南省自然科学基金项目(99JJY20055)

摘　　要：应用自适应神经模糊推理系统,以两车车速差、跟随车的车速、行车间距为输入量,两车的追尾概率为输出量,建立了高速公路汽车追尾的ANFIS(自适应神经模糊推理系统)概率模型,计算出在不同车速差和行车间距时的高速公路汽车追尾概率。该概率模型为高速公路汽车追尾建模提供了一种新思路,对模型进行实时校正后用于追尾预测,对避免高速公路汽车追尾具有指导意义。A probability model of automobile rear end collision based on ANFIS (adaptive neural-fuzzy inference systems) was provided, the speed difference of automobiles, the speed of tracing automobile and the distance of automobiles were taken as inputs, and the probability of automobile rear end collision was taken as output. The probability of automobile rear end collision was calculated in different speed difference and distance of automobiles using the model. The probability model provides a new plan for analysing automobile rear end collision, and has directive role for decreasing automobile rear end collision on freeway. 3 tabs, 1 fig, 6 refs.

关 键 词：交通安全 高速公路 汽车追尾 自适应神经模糊推理系统 追尾预测 

分 类 号：U491[交通运输工程—交通运输规划与管理]