COURSE UNIT TITLE

: TRANSPORTATION SYSTEMS MODELING

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
CIE 5067 TRANSPORTATION SYSTEMS MODELING ELECTIVE 3 0 0 7

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSOCIATE PROFESSOR MUSTAFA ÖZUYSAL

Offered to

TRANSPORTATION ENGINEERING
TRANSPORTATION ENGINEERING
TRANSPORTATION ENGINEERING

Course Objective

It is aimed to provide knowledge about the linear programming methods used for traffic engineering and transportation planning applications. The principles of the problem description and basic information about the solution algorithm are also focused. The problems will be explained by using some numerical examples.

Learning Outcomes of the Course Unit

1   To relate transportations system models with algorithms
2   To design stages and relationships for a specific problem
3   To formulate transport system components as modeling variables
4   To describe basic hypothesis intended to model transportation system
5   To relate four stage planning model with transportation systems
6   To investigate, to apply and to present some examples of transportation system models

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction to modeling transportation systems
2 Algorithm and flow charts in modeling
3 Constants, variables, arithmetic and logical operators
4 Condition / comparison
5 Loops
6 Trip distribution algorithms (growth factor methods)
7 Trip distribution algorithms (synthetic methods)
8 Mode choice algorithms (maximum likelihood method)
9 Shortest path algorithms (Floyd-Warshall)
10 Shortest path algorithms (Brunch and Bound)
11 Assignment models
12 Optimization, objective function and constraints
13 Optimization in transportation systems
14 Project presentations and general evaluation

Recomended or Required Reading

Textbook(s):
ORTUZAR, J.D.; WILLUMSEN, L.G. (1993): Modelling Transport, John Wiley & Sons, West Sussex, England
LARSON, R.; ODONI, A.R., (1999) Urban Operation Research, Massachusetts Institute of Technology.

Supplementary Book(s):
WINSTON W.L. (1994): Operations Research- Applications and Algorithms, Duxbury Press, California, USA.

Materials: Course presentations.

Planned Learning Activities and Teaching Methods

Course presentations, applications, home-works, home-work presentations.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FIN FINAL EXAM
4 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.25 + ASG * 0.25 + FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.25 + ASG * 0.25 + RST * 0.50


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

LO 1, 3, 4 ve 5 will be evaluated by using final exam.
LO 2 and 6 will be evaluated by using home-works and presentations.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Doç. Dr. Mustafa ÖZUYSAL (mustafa.ozuysal@deu.edu.tr)

Office Hours

It will be announced when the course schedule of the faculty is determined.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Preparations before/after weekly lectures 14 2 28
Preparation for midterm exam 1 5 5
Preparation for final exam 1 5 5
Preparing assignments 2 30 60
Preparing presentations 2 15 30
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 174

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.1554
LO.243545
LO.33453
LO.4544
LO.535434
LO.63433