KSU5316 Traffic Simulation and MicrosimulationBahçeşehir UniversityDegree Programs URBAN SYSTEMS AND TRANSPORTATION MANAGEMENT (TURKISH, THESIS)General Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
URBAN SYSTEMS AND TRANSPORTATION MANAGEMENT (TURKISH, THESIS)
Master TR-NQF-HE: Level 7 QF-EHEA: Second Cycle EQF-LLL: Level 7

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
KSU5316 Traffic Simulation and Microsimulation Spring 3 0 3 12
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction: Turkish
Type of course: Departmental Elective
Course Level:
Mode of Delivery: Face to face
Course Coordinator : Dr. Öğr. Üyesi NİLGÜN CAMKESEN
Recommended Optional Program Components: Traffic
Course Objectives: Course objective is giving detailed information about traffic simulation and microsimulation.

Learning Outcomes

The students who have succeeded in this course;
Understanding traffic microsimulation

Learning transportation planning modelling

Establishing microsimulation models

Course Content

Model, modelling tools, modelling in transportation planning, simulation models and classification, concepts, aims and benefits of traffic simulation, microsimulation basic concepts: simulation model, calibration, validity, accuracy, project, software data collection and organization, microsimulation modelling and analyzing by Aımsun 6

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction
2) Model
3) Modelling tools
4) Modelling in transportation planning
5) Simulation models and classification
6) Concepts, aims and benefits of traffic simulation
7) Concepts, aims and benefits of traffic simulation
8) Concepts, aims and benefits of traffic simulation
9) Midterm Exam
10) Microsimulation basic concepts
11) Simulation model, calibration, validity, accuracy
12) Simulation model, calibration, validity, accuracy
13) Software data collection and organization
14) Final Exam

Sources

Course Notes / Textbooks: Derste Verilen Notlar / Lecture Notes
References: Sunumlar / Presentations

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance 10 % 0
Quizzes 4 % 10
Homework Assignments 5 % 20
Midterms 1 % 30
Final 1 % 40
Total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 10 6 60
Homework Assignments 5 20 100
Quizzes 4 10 40
Midterms 1 30 30
Final 1 40 40
Total Workload 270

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Improving and enhancing information in expertise level on the concept of transportation licence level abilities in terms of transportation department and related departments. 5
2) Having detailed information about current technics, methods and their constraints in transportation engineering. 5
3) Estabilishing engineering problems, improving methods for solution, implementing new methods in solutions 4
4) Completing and implementing information with limited datas, integrating informations of different discipline datas
5) Estabilishing engineering problems, improving methods for solution, implementing new methods in solutions
6) New/origin idea and method implementing, improving new solutions in system, part and process designs.
7) Understanding process and results of studies, presenting the datas oral and written in related department on national and international scales, understanding a foreign language, having speaking, writing and reading level at least Europan Language Portfolio B2.
8) Understanding social and environmental phases of technological implementations. Listing ability of current technics, methods, effects, constraints and results of technological implementations.
9) Considering social-scientific-ethic values in collecting-understanding-implementing-presenting phases and all activities.
10) Having information detailed and deeply by implemented researching in technology, evaluating and implementing of information
11) Developing method for defined technological problems and implementing innovative methods in solutions.
12) Modelling and implementing of experimental investigations, solving of complex cases in this process