计算机与数字工程2017，Vol.45Issue(5)：803-806,860,5.DOI:10.3969/j.issn.1672-9722.2017.05.003
基于神经网络的驾驶行为与油耗相关性分析
Correlation Analysis for Driving Behaviour and Fuel Consumption Based on Neural Network
摘要
Abstract
With the dramatic increase of vehicle population and critical need for environment protection,improving automo?bile fuel economy and driving behavior have become a dominant task in development of automobile industry. In this paper,firstly abundant automobile running data is collected from automobile company,and then the data of driving behavior and vehicle behavior are extracted from the database,next,the dimension of data is reduced and the highly relevant data is derived with fuel consump?tion,finally,a relationship between automobile fuel economy and driving behavior are searched based on neural network. In a con?clusion,the results of neural network are utilized to optimize the driving behavior and decrease automobile fuel consumption.关键词
驾驶行为/油耗相关性/节油性能/神经网络Key words
driving behavior/fuel consumption correlation/fuel economy/neural network分类
交通工程引用本文复制引用
高涛,王钊,丁伟东,倪策,赵祥模..基于神经网络的驾驶行为与油耗相关性分析[J].计算机与数字工程,2017,45(5):803-806,860,5.基金项目
国家自然科学基金(编号:61302150) （编号:61302150）
中国博士后科学基金(编号:2014M562356) （编号:2014M562356）
陕西省协同创新计划(编号:2014XT-03)资助. （编号:2014XT-03）
