Masters Theses

Abstract

"Control delay is a key parameter in computing the level of service provided to motorists at signalized intersections. With the introduction of different forms of actuated signal control, there is a need for effective evaluation tools that can estimate the delay accurately. While the current state-of-the-art analytical models provide simple approaches for estimating delay, they cannot account for the stochastic properties of actuated signals. Although several simulation models are currently available for the analysis of actuated signals, there are concerns in using these stochastic models for making critical design decisions because many models are unproven and there is little information available about their accuracy in analyzing actuated signals.

This thesis compared the delay estimates from two state-of-the-art microsimulation models, SimTraffic and CORSIM, with field measurements in an attempt to determine how well these models determine movement delays at traffic actuated signals. Applying the simulation models for three traffic-actuated signals in the St. Louis area facilitated the comparisons in the study. Statistical analysis includes Analysis of Variance (ANOVA), paired sample t-test and Wilcoxon Signed Rank test to determine significant differences between each model delay results and the field delay estimates. From the results obtained in this study, it is demonstrated that the selected models can provide consistent delay estimates for both left tum and through movements; however, SimTraffic gives slightly lower and CORSIM provides higher delay results than the field delay. On the other hand, both models give significantly higher delay estimates for right tum vehicles. Finally, this study spells out the requirements for further research to aid in selecting an appropriate model for the evaluation of actuated signals"--Abstract, p. iii

Advisor(s)

Dr. Muhammad Qureshi

Committee Member(s)

Dr. Gary Spring
Dr. V. A. Samaranayake

Department(s)

Civil, Architectural and Environmental Engineering

Degree Name

M.S. in Civil Engineering

Publisher

University of Missouri--Rolla

Publication Date

Spring 2003

Pagination

viii, 58 pages

Note about bibliography

Includes bibliographical references (pages 55-57)

Rights

© 2003 Sripathi Reddy Jitta, All rights reserved.

Document Type

Thesis - Restricted Access

File Type

text

Language

English

Subject Headings

Electronic traffic controlsTraffic signs and signalsTraffic flow

Thesis Number

T 8153

Print OCLC #

52640364

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