Highway passenger traffic volume correlation analysis based on gray relational grade

Author

Zhang, Li ; Liu, Bo

Author_Institution

Manage. Sci. & Eng., Hohai Univ., Nanjing, China

Volume

4

fYear

2010

fDate

22-24 June 2010

Abstract

Grey relational analysis is based on similar degree of the the time series curve to determine the correlation between factors.In this paper, we use the gray relational analysis method to study the city´s GDP, the average consumption level, the city population, passenger vehicle amount of these related factors affecting the road passenger traffic, and linear regression analysis in SPSS verifies the results. Examples show that grey relational analysis method is reliable and accurate for analysis of the road passenger traffic and has better usability.

Keywords

correlation methods; regression analysis; road traffic; time series; average consumption level; city population; gray relational analysis method; gray relational grade; highway passenger traffic volume correlation analysis; linear regression analysis; passenger vehicle; road passenger traffic; time series curve; Cities and towns; Computer science education; Conference management; Economic indicators; Educational technology; Engineering management; Road transportation; Road vehicles; Technology management; Time series analysis; Grey relational analysis; Road passenger traffic amount;

fLanguage

English

Publisher

ieee

Conference_Titel

Education Technology and Computer (ICETC), 2010 2nd International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-6367-1

Type

conf

DOI

10.1109/ICETC.2010.5529701

Filename

5529701