Estimating Highway Capacity Considering Two-Regime Models

Document Type

Article

Publication Date

8-14-2009

Publication Title

Journal of Transportation Engineering

Volume

135

Issue

9

First page number:

670

Last page number:

676

Abstract

Capacity can be derived by fitting a relationship between the three fundamental traffic variables: flow, speed, and density. The study uses a dual-regime model with the consideration of all three variables. Different forms of functions were specified for congested and uncongested conditions. An optimization based estimation procedure was developed to minimize the distance between the theoretical functions and the traffic stream variable measurements. The optimal procedure was coded into a computer program and applied to three data sets representing different roadway classifications. The results indicate that the proposed method can produce good estimates of the key traffic stream parameters including the roadway capacity.

Keywords

Estimation; Highway capacity; Highway engineering; Statistics; Traffic capacity; 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.

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