CEE 6210 Transportation Systems Analysis
Instructor: Dr. Sadra Sharifi email@example.com
ENGR 231 Tu Th 10:30 – 11:00 am
797-7109 Or by appointment
Introduction to systems approach to analyze and design transportation systems. Focuses on key
modeling and systems concepts of a transportation system. Modeling approaches include linear
programming, simplex method, network analysis, simulation, and decision theory.
The objective of this course is to teach students the fundamental conceptual elements of a
transportation system and how one begins to go about analyzing and designing particular
transportation systems. By the end of this course, students should be able to apply these basic skills
to their research problems.
Proven themselves proficient in the fundamentals in the field of transportation.
Demonstrate the ability to apply key modeling and systems concepts learned in this class to
model real-life transportation problems.
Demonstrate the capability to write a technical report and communicate the results of their
solution approach to other engineering professionals.
CEE 3030 (Uncertainty in Engineering Analysis) or Equivalent
Homework Assignments 10%
Final Exam 30%
[ASW] Anderson, D.R., Sweeney, D.J., and Williams, T.A. (2005) An Introduction to
Management Science, Quantitative Approach to Decision Making, 11th
Edition, Thomson South-
1. [J&B] Jensen, P.A. & Bard, J.F. (2003) Operations Research Models and Methods, John
Wiley & Sons, Inc.
2. [DeE] Denardo, E.V. (2003) The Science of Decision Making: A Problem-Based
Approach Using Excel, Wiley & Sons, Inc.
3. [H&L] Hillier, F.S. & Lieberman, G.J. (1990) Introduction to Operations Research,
4. [TaB] Taylor, B.W. (2004) Introduction to Management Science, Prentice Hall.
5. [D&T] Dantzig, G.B & Thapa, M.N. (1997) Linear Programming 1: Introduction,
6. [D&T] Dantzig, G.B & Thapa, M.N. (2003) Linear Programming 2: Theory and
7. [AMO] Ahuja, R.K., Magnanti, T.L., and Orlin, J.B. (1993) Network Flows, Prentice
8. [MGE] Monahan, G.E. (2000) Management Decision Making: Spreadsheet Modeling,
Analysis, and Applications, Cambridge University Press.
9. [B&F] Blanchard, B.S. & Fabrycky, W.J. (1998) Systems Engineering and Analysis,
Edition, Prentice Hall.
10. [WHP] Williams, H.P (2001) Model Building in Mathematical Programming, 4th
11. [SuJ] Sussman, J. (2000) Introduction to Transportation Systems, Artech House
12. [RWW] ReVelle, C.S., Whitlatch, E.E., and Wright, J.R. (2004) Civil and
Environmental Systems Engineering, 2nd
Edition, Prentice Hall.
13. [C&M] Church, R.L. & Murray, A.T. (2009) Business Site Selection, Location Analysis,
and GIS, Wiley & Sons, Inc.
14. [S&L] Sinha, K.C. & Labi, S. (2007) Transportation Decision Making: Principles of
Project Evaluation and Programming, Wiley & Sons, Inc.
The University expects that students and faculty alike maintain the highest standards of academic
honesty. For the benefit of students who may not be aware of specific standards of the University
concerning academic honesty, the following information is quoted from The Code of Policies
and Procedures for Students at Utah State University (revised April 2002), Article V, Section 3:
Acts of academic dishonesty include but are not limited to:
Cheating: (1) using or attempting to use or providing others with any unauthorized assistance in
taking quizzes, tests, examinations, or in any other academic exercise or activity, including
working in a group when the instructor has designated that the quiz, test, examination, or any
other academic exercise or activity be done “individually”; (2) depending on the aid of sources
beyond those authorized by the instructor in writing papers, preparing reports, solving problems,
or carrying out other assignments; (3) substituting for another student, or permitting another
student to substitute for oneself, in taking an examination or preparing academic work; (4)
acquiring tests or other academic material belonging to a faculty member, staff member, or
another student without express permission; (5) continuing to write after time has been called on
a quiz, test, examination, or any other academic exercise or activity; (6) submitting substantially
the same work for credit in more than one class, except with prior approval of the instructor; or
(7) engaging in any form of research fraud.
Falsification: altering or fabricating any information or citation in an academic exercise or
Plagiarism: representing, by paraphrase or direct quotation, the published or unpublished work
of another person as one’s own in any academic exercise or activity without full and clear
acknowledgment. It also includes using materials prepared by another person or by an agency
engaged in the sale of term papers or other academic materials.
Violations of the above policy will subject the offender to the University discipline
procedures as outlined in Article VI, Section 1 (paragraphs A, E, F, G, and H) of the Code.
See the USU Code of Policies and Procedures for details.
Tentative Course Outline
1. System Definitions and Concepts ([B&F] Ch. 1 to 2, [SuJ] Ch. 1 to 5, [RWW] Ch. 1,
[S&L] Ch. 1 to 4)
1.1 What is a System?
1.2 Transportation (or Civil) Infrastructure Systems
1.3 Transportation Network
1.4 Why Systems Modeling
1.5 Modeling Process of a Transportation System
2. Problem Solving and Decision Making ([ASW] Ch. 1, [SuJ] Ch. 10 to 11, [C&M] Ch. 3)
2.1 Quantitative Analysis
2.2 Mathematical Models
2.4 Modeling Techniques
3. Linear Programs ([ASW] Ch. 2 to 6, [RWW] Ch. 1 to 4)
3.1 Problem Formulation
3.2 Graphical Solution Procedure
3.3 Simplex Procedure
3.4 Sensitivity Analysis
3.7 Computer Software (e.g., Excel, MATLAB)
4. Fundamentals of Network Models ([ASW] Ch. 7 to 9, [RWW] Ch. 6, [C&M] Ch. 4 and 9)
4.1 Graphical Representation
4.2 Network Characteristics
4.3 Conservation of Flow
4.4 Algebraic Structure
4.4.1 Primal Formulation
4.4.2 Dual Formulation
4.5 Network Flow Problems
4.5.1 The Transportation Problem
4.5.2 The Transshipment Problem
4.5.3 The Minimum Cost Flow Problem
4.5.4 The Maximal Flow Problem
4.6 Integer Linear Programming
4.6.1 Types of Integer Linear Programming Models
4.6.2 Graphical and Computer Solutions
4.6.3 Applications Involving 0-1 Variables
4.6.4 Modeling Flexibility Provided by 0-1 Integer Variables
5. Project Scheduling: PERT/CPM ([ASW] Ch. 10, [RWW] Ch. 8)
5.1 Project Scheduling with Known Activity Times
5.2 Project Scheduling with Uncertain Activity Times
5.3 Considering Time-Cost Trade-Offs
6. Simulation ([ASW] Ch. 13)
6.1 Simulation Concepts
6.2 Random Number Generator
6.3 Simulation Applications
6.4 Traffic Simulation
7. Decision Making ([ASW] Ch. 14 and 15, [RWW] Ch. 9, [S&L] Ch. 1, 18 to 20)
7.1 Decision Making Using Deterministic Models
7.2 Decision Making Under Uncertainty
7.3 Goal Programming
7.4 Multi-criteria Decision Making
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