Estimating Roadway Capacity Using the Simultaneous Spline Regression Model
Document Type
Article
Publication Date
2-2009
Publication Title
Journal of Transportation Systems Engineering and Information Technology
Volume
9
Issue
1
First page number:
87
Last page number:
98
Abstract
Capacity can be derived as the maximum flow of the functions expressing the relationships between flow and speed or between flow and occupancy. Usually, only one of the relationships is used in the estimation. This results in loss of information in estimation of the capacity. When more than two relationships are used, the derived maximum flows from these two relationships do not coincide, which results in different estimates of capacity. Even when only one relationship of the traffic variables is used, the functions describing the congested and the uncongested conditions are usually estimated separately, which is another case where not all the information is used at the same time. In this study, a simultaneous spline regression model was adopted in estimating capacity using two relationships of traffic variables. Basically, a spline function is a piecewise function, each segment of which defines a traffic condition (e.g., congested or uncongested). An optimal procedure was developed in this study to estimate the two piecewise functions and the breakpoints dividing the two piecewise functions simultaneously with the consideration of a common breakpoint as capacity. With this procedure, a unique estimate of capacity can be derived. Results of this study demonstrated the potential of using this procedure in obtaining a consistent estimate of roadway capacity.
Keywords
Capacity; Greenshields model; Regression analysis; Speed and density model; Spline regression; Traffic estimation; Traffic flow; Traffic speed
Disciplines
Civil and Environmental Engineering | Civil Engineering | Engineering
Language
English
Permissions
Use Find in Your Library, contact the author, or interlibrary loan to garner a copy of the item. Publisher policy does not allow archiving the final published version. If a post-print (author's peer-reviewed manuscript) is allowed and available, or publisher policy changes, the item will be deposited.
Repository Citation
Yao, J.,
Teng, H.,
Wei, H.,
Hu, S.
(2009).
Estimating Roadway Capacity Using the Simultaneous Spline Regression Model.
Journal of Transportation Systems Engineering and Information Technology, 9(1),
87-98.
http://dx.doi.org/10.1016/S1570-6672(08)60047-2