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http://dx.doi.org/10.12815/kits.2017.16.2.73

A Stability Test of the Regression Coefficients for the Linear Models using Chow Test  

Lee, Ki-Young (Korea Expressway Corporation)
Lee, Seongkwan Mark (King Saud University)
Jeong, So-Young (Korea Expressway Corporation)
Heo, Tae-Young (Chungbuk National University)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.16, no.2, 2017 , pp. 73-82 More about this Journal
Abstract
In this research, we tried to check the applicability of a Chow test to the linear models which are generated in the process of transportation planning or traffic flow analyses. The Chow test is a very popular statistical method which is being used to see if the coefficients from two separate linear regression models are equal or not. In order to prove the effectiveness of the Chow test, we found the linear relationships between speed and density under the situations such as driving in daytime and in nighttime on a rainy day. Based on the two months of Joong-Bu Expressway traffic data, we proved that the Chow test is useful to testify the similarity between two linear regression models. And this statistical tool seems to be able to have a very important role in traffic flow analysis or in transportation planning process. Finally, we expect the Chow test be implemented even to the non-linear regression models or to the multi-variate models.
Keywords
Chow Test; Regression Model; Traffic Capacity; Traffic Density; Greenshields Model;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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