Masters Theses

Abstract

"Statistical methods are traditionally used to summarize or describe a collection of data. This can be termed as descriptive statistics. This research focuses on application of certain statistical approaches, tools to solve transportation related problems. This research focuses on usage of statistical analysis in determine some of the significant factors and assumptions which should be taken into consideration while developing safety and maintenance related measures by transportation agencies. This research mainly focuses on; testing null hypothesis and frequency analysis. The research therefore is presented in two different case studies: 1) Statistical analysis of the work zone crash historical raw data using bar graphs, histograms to determine the significant contributing factors which might have led to the work zone related crashes. 2) General linear model (univariate) model regression analysis to study the effects of predictor variables factors on the luminous intensity of LED traffic luminaries"--Abstract, page iii.

Advisor(s)

Long, Suzanna, 1961-

Committee Member(s)

Qin, Ruwen
Smith, Brian Keith

Department(s)

Engineering Management and Systems Engineering

Degree Name

M.S. in Engineering Management

Publisher

Missouri University of Science and Technology

Publication Date

Fall 2014

Pagination

vii, 50 pages

Note about bibliography

Includes bibliographic references (pages 47-49).

Rights

© 2014 Venkat Sravan Kothapalli, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Library of Congress Subject Headings

Transportation -- Statistics
Road work zones -- Statistics
Electronic traffic controls

Thesis Number

T 10584

Electronic OCLC #

902734081

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