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 bibliographical references (pages 47-49).
Rights
© 2014 Venkat Sravan Kothapalli, All rights reserved.
Document Type
Thesis - Open Access
File Type
text
Language
English
Subject Headings
Transportation -- Statistics
Road work zones -- Statistics
Electronic traffic controls
Thesis Number
T 10584
Electronic OCLC #
902734081
Recommended Citation
Kothapalli, Venkat Sravan, "The use of statistics and its analysis in resolving transportation related problems" (2014). Masters Theses. 7330.
https://scholarsmine.mst.edu/masters_theses/7330