Correlation Analysis for Driving Behaviour and Fuel Consumption Based on Neural Network
GAO Tao
WANG Zhao
DING Weidong
NI Ce
ZHAO Xiangmo
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.
Keywords：driving behaviorfuel consumption correlationfuel economyneural network
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 803-806,860 )