Akademik Dersler - Tanıtım

Course Introduction Information


Code - Course Title	HTK603 - Models and Simulation in Air Traffic Management II
Course Type	Elective Courses
Language of Instruction	Türkçe
Laboratory + Practice	3+0
ECTS	7.5
Course Instructor(s)	PROFESÖR DOKTOR CEM ÇETEK
Mode of Delivery	Classroom
Prerequisites	SHA502 Models and Simulation in Air Traffic Management I
Courses Recomended	AirTraffic Services, Communication and Navigation Services, Air Transportation Management, Surveillance Systems, Trajectory Analysis and Prediction
Recommended Reading List	1. Kelton W.D., Sadowski R.P. and Sturrock D.t., Simulation with Arena, Mc-Graw Hill, 2003.2. ATAC, Simmod Plus Reference Manual, ATAC Corp, 2010.3. Odoni, A. R., J. Bowman, D. Delahaye, J. J. Deyst, E. Feron, R. J. Hansman, K. Khan, J. J. Kuchar, N. Pujet, and R. Simpson. Existing and Required Modeling Capabilities for Evaluating ATM Systems and Concepts. Final Report to National Aeronautics and Space Administration Ames Research Center, International Center for Air Transportation, March 1997. 4. Odoni, A. R., J. Bowman, D. Delahaye, J. J. Deyst, E. Feron, R. J. Hansman, K. Khan, J. J. Kuchar, N. Pujet, and R. Simpson. Existing and Required Modeling Capabilities for Evaluating ATM Systems and Concepts. Final Report to National Aeronautics and Space Administration Ames Research Center, International Center for Air Transportation, March 1997.
Assessment methods and criteria	Midterms(2×15%) + HW (30%) + Final Exam (40%)
Work Placement	Not Available
Sustainability Development Goals

Content

Weeks	Topics
Week - 1	Course Policy ; Comparison of Fast-Time Simulation Tools in ATM Research: Scope and Scale of the Problem
Week - 2	Refinements of Models: Resetting Simulation Parameters, Stochastic Processes: Random Variables, Number Seed Refinement of Models, Experimental Design and Optimization Resetting Simulation Parameters; Stochastic Processes: Random Variables, Number Seeds and Streams; Factorial Designs; Response Surfaces and Gradient Estimation
Week - 3	Advanced Features in Airport Capacity and Delay Analysis: Taxipaths, Dynamic Single Direction Paths, Runway crossings, Stagger, Checkpoints / congestion, Concourses, De-icing, Gate blocking, Gate selection, High-speed runway exits, Holdcycles, Push-backs / power-backs, Runway exit selection, Runway occupancy, Staging, Taxipath selection criteria
Week - 4	Advanced Features in Airspace Capacity and Delay Analysis: Dynamic re-routeing, Holding stacks, Metering, Missed approaches, Touch-and-go, Wind
Week - 5	1st MIDTERM EXAM
Week - 6	Advanced Techniques in Airspace and Airfield Logic: Resources, Profiles, Extended Routes
Week - 7	Capacity and Delay Analysis-Detailed Reports: Node Reporter, SIMU26 Standard and Node-to-Node Reports, SIMU48 report
Week - 8	Conflict Detection and Resolution Models-Fundamentals: Trajectory Generation; Conflict Detection; Conflict Resolution; Performance Metrics: Conflict Counts, Conflict Locations, Conflict Start and End Times, Conflict Severity, Delays, Unsolved Conflicts, Trajectory Deviations, Time and Fuel Penalties
Week - 9	Conflict Detection and Resolution Models-Simulation Functions:TMA Holdstacks, Path stretching/Tromboning, Continuous Descent ,4D Sectorisation
Week - 10	Conflict Detection and Resolution Models-Simulation Functions: Controller separations and rulebased resolution, 4D Conflict Detection, 4D Conflict Resolution
Week - 11	Conflict Detection and Resolution Models-Examples: Measurement of Controller Workload and Airspace Complexity
Week - 12	2nd MIDTERM
Week - 13	Conflict Detection and Resolution Models-Examples: Analysis of airspace safety in relation to separation violations, Impacts of new concepts (Free flight and RVSM)
Week - 14	Documentation and Presentation of Results Documentation and Reporting of Results; Presentation and Preservation of Results, Presentation of Animations

Learning Activities and Teaching Methods

Teaching Methods
Lecture
Discussion
Question & Answer
Team/Group Work
Demonstration
Drill - Practise
Problem Solving
Report Preparation and/or Presentation
Competences
Productive
Rational
Questoning
Creative
Follow ethical and moral rules
Work in teams
Use time effectively
Abstract analysis and synthesis
Problem solving
Organization and planning
Elementary computing skills
Decision making
To work in interdisciplinary projects

Assessment Methods

Assessment Method and Passing Requirements
	Quamtity	Percentage (%)
Toplam (%)		0