Civil Engineering (English)
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

General course introduction information

Course Code:

CE316

Course Name:

Fundamentals of Traffic Engineering

Course Semester:

Spring

Course Credits:

Theoretical	Practical	Credit	ECTS
3	0	3	5

Language of instruction:

Course Requisites:

Does the Course Require Work Experience?:

Type of course:

Department Elective

Course Level:

Bachelor

TR-NQF-HE:6. Master`s Degree

QF-EHEA:First Cycle

EQF-LLL:6. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator :

Assoc. Prof. SELİM DÜNDAR

Course Lecturer(s):

Assoc. Prof. SELİM DÜNDAR

Course Assistants:

Course Objective and Content

Course Objectives:	The purpose of this course is to introduce the fundamentals of traffic engineering. The topics covered in this class includes: Basic parameters of traffic flow. Basic relationship of traffic flow. Data collection methods. Traffic flow models. Microscobic flow models. Capacity and the level of service. Traffic sings. Road markings. Parkings. Intersections. Roundabouts. Traffic signal design.
Course Content:	Understand traffic behavior Collect traffic data Analyze traffic data Model the highway traffic Design traffic projects Design traffic signals Design intersections Design parking areas

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
1) Understand traffic behavior
2 - Skills
Cognitive - Practical
1) Collects, analysez and models traffic data
2) Design traffic projects
3) Designs intersections and traffic signals
4) Design parking areas
3 - Competences
Competence to Work Independently and Take Responsibility
Field Specific Competence
Learning Competence
Communication and Social Competence

Lesson Plan

Week	Subject	Related Preparation
1)	Introduce the needs for and the methods used on traffic engineering
2)	Fundamental parameters of traffic flow
3)	Fundamental relations of traffic flow
4)	Traffic data collection
5)	Traffic flow models
6)	Microscopic traffic flow modelling
7)	Capacity Level of Service
8)	Traffic signs
9)	Midterm exam
10)	Road markings
11)	Parking
12)	Traffic intersections
13)	Traffic rotaries
14)	Traffic signal design

Sources

Course Notes / Textbooks:	“Traffic Engineering 4th Edition”, by Roger P. Roses, Elena S. Prassas, William R. McShane, Prentice Hall, 2011. ISBN-9780136135739 “Highway Capacity Manual 5th Edition (2010)”, Transportation Research Board, 2010. ISBN-9780309160773
References:	Yok

Course-Program Learning Outcome Relationship

Learning Outcomes	1	2	3	4	5
Program Outcomes
1) Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied information in these areas to model and solve engineering problems.
2) Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modelling methods for this purpose.
3) Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way so as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues according to the nature of the design.)
4) Ability to select and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively.
5) Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions.
6) Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
7) Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions.
8) Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
9) Knowledge on behavior according ethical principles, professional and ethical responsibility and standards used in engineering practices.
10) Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.
11) Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of engineering solutions.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied information in these areas to model and solve engineering problems.
2)	Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modelling methods for this purpose.
3)	Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way so as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues according to the nature of the design.)
4)	Ability to select and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively.
5)	Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions.
6)	Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
7)	Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions.
8)	Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
9)	Knowledge on behavior according ethical principles, professional and ethical responsibility and standards used in engineering practices.
10)	Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.
11)	Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of engineering solutions.

Learning Activity and Teaching Methods

Field Study
Individual study and homework
Lesson
Group study and homework
Homework
Problem Solving
Application (Modelling, Design, Model, Simulation, Experiment etc.)
Case Study

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Homework
Application
Individual Project
Reporting

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Homework Assignments	1	% 10
Project	1	% 10
Midterms	1	% 30
Final	1	% 50
total		% 100
PERCENTAGE OF SEMESTER WORK		% 50
PERCENTAGE OF FINAL WORK		% 50
total		% 100

Workload and ECTS Credit Grading

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	3	42
Study Hours Out of Class	14	6	84
Project	1	5	5
Homework Assignments	1	5	5
Midterms	1	1	1
Paper Submission	1	5	5
Final	1	1	1
Total Workload			143