COURSE UNIT TITLE

: TRANSPORTATION FLOW MODELS

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
MTE 5022 TRANSPORTATION FLOW MODELS ELECTIVE 3 0 0 8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR SERHAN TANYEL

Offered to

Marine Transportation Systems Engineering
Marine Transportation Systems Engineering
MARINE TRANSPORTATION SYSTEMS ENGINEERING

Course Objective

Describing the importance of traffic engineering, presentation of basic principles of traffic flow and to give ability to perform basic analysis of traffic engineering

Learning Outcomes of the Course Unit

1   To have basic knowledge on traffic estimation methods
2   To understand the interactions between vehcile, road and users.
3   To perform traffic analysis methods
4   To make simpla traffic engineering designs.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Charactersitics of traffic flow
2 Capacity
3 Traffic counting methods
4 Traffic counting methods (cont.) giving assignments' data.
5 Traffic volume and its proporties.
6 Traffic volume and its properties (cont).
7 First mid-term exam
8 Intersections
9 Intersections (cont.)
10 Introduction to transportation network models
11 Introduction to assignment models
12 Second mid-term exam
13 Presentation of assignments
14 General discussion

Recomended or Required Reading

KUTLU, K. 1991 Trafik Tekniği Istanbul Teknik Üniversitesi, Inşaat Fakültesi Matbaası, Istanbul.

TRB Special Report 209 Highway Capacity Manual (2000 version) , Transportation Research Board, National Research Council, Washington D.C.

Planned Learning Activities and Teaching Methods

LO1, LO2 and LO3 will be evaluated by using mid-term and final exams.
LO2, LO3 and LO4 will be evaluated by using home-work and presentation.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE 1 MIDTERM EXAM 1
2 MTE 2 MIDTERM EXAM 2
3 ASG ASSIGNMENT
4 FIN FINAL EXAM
5 FCG FINAL COURSE GRADE MTE 1 + MTE 2 + ASG/3 * 0.60 + FIN * 0.40
6 RST RESIT
7 FCGR FINAL COURSE GRADE (RESIT) MTE 1 + MTE 2 + ASG/3 * 0.60 + RST * 0.40


Further Notes About Assessment Methods

None

Assessment Criteria

Courses related to the year in the grade for a term paper will be prepared and will be effective in determining the rate of 34%. Midterm examinations each year will be 33% in the average contribution. 60% of midterm grade and 40% of final grade will determine the success score.

Language of Instruction

Turkish

Course Policies and Rules

Attendance will be considered in the evaluation.

Contact Details for the Lecturer(s)

Phıone: 0 232 301 70 18

serhan.tanyel@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 12 3 36
Preparations before/after weekly lectures 12 4 48
Preparation for midterm exam 2 15 30
Preparation for final exam 1 25 25
Preparing assignment 1 30 30
Preparing presentations 1 10 10
Mid-term exam 2 3 6
Final exam 1 5 5
TOTAL WORKLOAD (hours) 190

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.15
LO.2555
LO.35555
LO.45