Masters Theses

Abstract

“Finding ways to accurately predict values at signalized intersections has always been an important part of the transportation engineer’s work. The level of service that can be obtained at a signal often hinges on values estimated or determined from field readings. One important aspect of a signalized intersection is the length of queues at the intersection, or more specifically, the time it takes for a queue in an opposing lane of traffic to clear and how that affects vehicles wanting to turn left is an attribute of interest.

The Highway Capacity Manual 2000 currently provides an equation that determines the time it takes for a queue in an opposing lane of traffic to clear. Using volume, queue ratios, and green time, a prediction of the time for a queue to clear an intersection can be made. Technically, once the queue is clear, a car wanting to turn left would then have the opportunity. The purpose of this study is to analyze the equation provided and determine if it is accurate or not.

In order to conduct this study, data was collected from various signalized intersections that met specific criteria. The data collected included the green time of the signal, the volume of cars passing through the intersection, the length of queue present when the light turned green, and the time it took for that specific queue to clear. The volume, queue length, and green time were then inputted into the given equation to obtain the queue clearance time. The predicted value can then be compared to actual field values. The end result is a determination of whether or not the equation currently presented in the Highway Capacity Manual 2000 is accurate”--Abstract, page iii.

Advisor(s)

Qureshi, Mohammad

Committee Member(s)

Spring, Gary
Samaranayake, V. A.

Department(s)

Civil, Architectural and Environmental Engineering

Degree Name

M.S. in Civil Engineering

Publisher

University of Missouri--Rolla

Publication Date

Fall 2003

Pagination

x, 66 pages

Note about bibliography

Includes bibliographical references (pages 64-65).

Rights

© 2003 Shannon Lea Foil, All rights reserved.

Document Type

Thesis - Restricted Access

File Type

text

Language

English

Subject Headings

Electronic traffic controls -- EvaluationTraffic signs and signals -- Mathematical modelsTraffic engineering

Thesis Number

T 8443

Print OCLC #

55233188

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