人工神经网络在运行车速预测中的应用  

The application of artificial neural network in operating speed forecast

作　　者：厉建远[1] 高建平[1] 

机构地区：[1]重庆交通学院土木建筑学院,重庆400074

出　　处：《重庆交通学院学报》2006年第4期102-105,共4页Journal of Chongqing Jiaotong University

基　　金：国家自然科学基金项目(50478082);重庆市科委基金项目(030902)资助

摘　　要：基于太旧高速公路运行车速实测数据,利用Matlab人工神经网络建立运行车速与平面线形要素之间的神经网络关系模型,以期用于对新建公路的线形设计和已有公路的运行车速评估.在太旧高速公路应用发现预测精度较高,有实际利用价值.It has lots of shortage that takes design speed as highway alignment design criteria, and operating speed is closed related with traffic safety. At the same time, highway alignment design is an inter national universal method of highway alignment design in the current, which has been recognized and valued gradually in china, but related research is still the less. According to the measured data of TAI-JIU freeway operating speed, the paper takes use of Matlab Artificial Neural NetWork to estshlish the Neural NetWork model of the relationship between operating speed and horizontal alignment elements, use which to make highway alignment design and evaluate the operating speed, and the high forcast precision has been found, so it has the factual value in use.

关 键 词：MATLAB BP人工神经网络 设计车速 运行车速 

分 类 号：U412.312[交通运输工程—道路与铁道工程]