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Fall 2016
CEE 5240/6240 Urban & Regional Transportation Planning
Preliminaries
Instructor: Dr. Sadra Sharifi sadra.sharifi@aggiemail.usu.edu
Office: ENG 231 Tuesday and Thursday 10:30 – 11:30 am
Or by appointment
Course Description
Theoretical foundations of transportation planning, design, and analysis methods. Theory and
application of aggregate and disaggregate models for land use development, trip generation, and
destination, mode, and route choice. Transportation planning, design, and evaluation of system
alternatives.
Course Objective
The objective of this course is to teach students the basic techniques used to model, plan, and
design transportation systems. By the end of this course, students should be able to start
applying these skills to analytical problems and case study applications.
Course Outcomes
 Proven themselves proficient in the fundamentals of transportation planning.
 Demonstrated the ability to apply the basic techniques learned in this course to model, plan,
and evaluate transportation systems.
 Shown a capacity for investigation in transportation planning along with the ability to
analyze and interpret transportation planning data.
Prerequisites and Requirements
 CEE 3210 – Introduction to Transportation Engineering.
 You are expected to attend all classes and be on time.
 You are responsible for all announcements.
 You are responsible for the materials covered in class and reading materials.

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Grading
 Class Participation/Quizzes (5%)
 Homework Assignments/Lab Reports (25%)
 Midterm 1 (20%) Thursday, Oct. 6, 2016 (tentative)
 Midterm 2 (20%) Thursday, Nov. 8, 2016 (tentative)
 Final Exam (30%) TBA
Textbook
 Ortuzar, J de Dios & Willumsen, LG (2011). Modelling Transport. John Wiley & Sons, Ltd.,
4th
Edition (recommended).
 Lecture notes and handouts will be uploaded to Canvas.
 Online reading materials.
Homework Assignments and Exams
 Late assignment will NOT be accepted for grade, unless prior arrangements are made.
 There will be two midterm exams (20% each) and a final exam (30%). The final exam will
be comprehensive. The midterm and final exams will be closed book.
 NO make-up exams, unless prior arrangements are made
Academic Honesty
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.

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Falsification: altering or fabricating any information or citation in an academic exercise or
activity.
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.

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Tentative Course Outline
1. Introduction
 Transportation Planning Process
 4-Step Travel Forecasting Model
2. Overview of CMPO Model
3. Transportation and Planning Data
 Survey Data
 Network Data
4. Shortest Path Problem
 Dijkstra’s algorithm
5. Trip Generation
 Regression Analysis
 Category Analysis
6. Trip Distribution
 Growth Factor Model
 Gravity Model
7. Mode Choice Models
 Discrete Choice Models
 Binary Logit Model
8. Route Choice Models
 Wardrop’s Principles
 Traffic Assignment Methods
 Network Equilibration
9. Network Design and Project Evaluation
 Forecasting for Future Alternatives
 Comparative Evaluation of Alternatives
10. Introduction to CUBE
 Cache Travel Demand Model
 Application of CUBE to Cache Travel Demand Model